# Pre-computed receptive field parameters ## Table with results The table below presents the receptive field parameters for several popular convolutional neural networks. These are computed using the models from the [TF-Slim repository](https://github.com/tensorflow/models/tree/master/research/slim), by using the [rf_benchmark script](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/receptive_field/python/util/examples/rf_benchmark.py). Questions? See the [FAQ](#faq). CNN | resolution | end-point | RF | effective stride | effective padding :----------------------------: | :--------: | :------------------: | :--: | :--------------: | :---------------: alexnet_v2 | None | alexnet_v2/conv1 | 11 | 4 | 0 alexnet_v2 | None | alexnet_v2/pool1 | 19 | 8 | 0 alexnet_v2 | None | alexnet_v2/conv2 | 51 | 8 | 16 alexnet_v2 | None | alexnet_v2/conv3 | 99 | 16 | 32 alexnet_v2 | None | alexnet_v2/conv4 | 131 | 16 | 48 alexnet_v2 | None | alexnet_v2/conv5 | 163 | 16 | 64 alexnet_v2 | None | alexnet_v2/pool5 | 195 | 32 | 64 alexnet_v2 | 224 | alexnet_v2/conv1 | 11 | 4 | 0 alexnet_v2 | 224 | alexnet_v2/pool1 | 19 | 8 | 0 alexnet_v2 | 224 | alexnet_v2/conv2 | 51 | 8 | 16 alexnet_v2 | 224 | alexnet_v2/conv3 | 99 | 16 | 32 alexnet_v2 | 224 | alexnet_v2/conv4 | 131 | 16 | 48 alexnet_v2 | 224 | alexnet_v2/conv5 | 163 | 16 | 64 alexnet_v2 | 224 | alexnet_v2/pool5 | 195 | 32 | 64 alexnet_v2 | 321 | alexnet_v2/conv1 | 11 | 4 | 0 alexnet_v2 | 321 | alexnet_v2/pool1 | 19 | 8 | 0 alexnet_v2 | 321 | alexnet_v2/conv2 | 51 | 8 | 16 alexnet_v2 | 321 | alexnet_v2/conv3 | 99 | 16 | 32 alexnet_v2 | 321 | alexnet_v2/conv4 | 131 | 16 | 48 alexnet_v2 | 321 | alexnet_v2/conv5 | 163 | 16 | 64 alexnet_v2 | 321 | alexnet_v2/pool5 | 195 | 32 | 64 vgg_a | None | vgg_a/conv1/conv1_1 | 3 | 1 | 1 vgg_a | None | vgg_a/pool1 | 4 | 2 | 1 vgg_a | None | vgg_a/conv2/conv2_1 | 8 | 2 | 3 vgg_a | None | vgg_a/pool2 | 10 | 4 | 3 vgg_a | None | vgg_a/conv3/conv3_1 | 18 | 4 | 7 vgg_a | None | vgg_a/conv3/conv3_2 | 26 | 4 | 11 vgg_a | None | vgg_a/pool3 | 30 | 8 | 11 vgg_a | None | vgg_a/conv4/conv4_1 | 46 | 8 | 19 vgg_a | None | vgg_a/conv4/conv4_2 | 62 | 8 | 27 vgg_a | None | vgg_a/pool4 | 70 | 16 | 27 vgg_a | None | vgg_a/conv5/conv5_1 | 102 | 16 | 43 vgg_a | None | vgg_a/conv5/conv5_2 | 134 | 16 | 59 vgg_a | None | vgg_a/pool5 | 150 | 32 | 59 vgg_a | 224 | vgg_a/conv1/conv1_1 | 3 | 1 | 1 vgg_a | 224 | vgg_a/pool1 | 4 | 2 | 1 vgg_a | 224 | vgg_a/conv2/conv2_1 | 8 | 2 | 3 vgg_a | 224 | vgg_a/pool2 | 10 | 4 | 3 vgg_a | 224 | vgg_a/conv3/conv3_1 | 18 | 4 | 7 vgg_a | 224 | vgg_a/conv3/conv3_2 | 26 | 4 | 11 vgg_a | 224 | vgg_a/pool3 | 30 | 8 | 11 vgg_a | 224 | vgg_a/conv4/conv4_1 | 46 | 8 | 19 vgg_a | 224 | vgg_a/conv4/conv4_2 | 62 | 8 | 27 vgg_a | 224 | vgg_a/pool4 | 70 | 16 | 27 vgg_a | 224 | vgg_a/conv5/conv5_1 | 102 | 16 | 43 vgg_a | 224 | vgg_a/conv5/conv5_2 | 134 | 16 | 59 vgg_a | 224 | vgg_a/pool5 | 150 | 32 | 59 vgg_a | 321 | vgg_a/conv1/conv1_1 | 3 | 1 | 1 vgg_a | 321 | vgg_a/pool1 | 4 | 2 | 1 vgg_a | 321 | vgg_a/conv2/conv2_1 | 8 | 2 | 3 vgg_a | 321 | vgg_a/pool2 | 10 | 4 | 3 vgg_a | 321 | vgg_a/conv3/conv3_1 | 18 | 4 | 7 vgg_a | 321 | vgg_a/conv3/conv3_2 | 26 | 4 | 11 vgg_a | 321 | vgg_a/pool3 | 30 | 8 | 11 vgg_a | 321 | vgg_a/conv4/conv4_1 | 46 | 8 | 19 vgg_a | 321 | vgg_a/conv4/conv4_2 | 62 | 8 | 27 vgg_a | 321 | vgg_a/pool4 | 70 | 16 | 27 vgg_a | 321 | vgg_a/conv5/conv5_1 | 102 | 16 | 43 vgg_a | 321 | vgg_a/conv5/conv5_2 | 134 | 16 | 59 vgg_a | 321 | vgg_a/pool5 | 150 | 32 | 59 vgg_16 | None | vgg_16/conv1/conv1_1 | 3 | 1 | 1 vgg_16 | None | vgg_16/pool1 | 6 | 2 | 2 vgg_16 | None | vgg_16/conv2/conv2_1 | 10 | 2 | 4 vgg_16 | None | vgg_16/pool2 | 16 | 4 | 6 vgg_16 | None | vgg_16/conv3/conv3_1 | 24 | 4 | 10 vgg_16 | None | vgg_16/conv3/conv3_2 | 32 | 4 | 14 vgg_16 | None | vgg_16/pool3 | 44 | 8 | 18 vgg_16 | None | vgg_16/conv4/conv4_1 | 60 | 8 | 26 vgg_16 | None | vgg_16/conv4/conv4_2 | 76 | 8 | 34 vgg_16 | None | vgg_16/pool4 | 100 | 16 | 42 vgg_16 | None | vgg_16/conv5/conv5_1 | 132 | 16 | 58 vgg_16 | None | vgg_16/conv5/conv5_2 | 164 | 16 | 74 vgg_16 | None | vgg_16/pool5 | 212 | 32 | 90 vgg_16 | 224 | vgg_16/conv1/conv1_1 | 3 | 1 | 1 vgg_16 | 224 | vgg_16/pool1 | 6 | 2 | 2 vgg_16 | 224 | vgg_16/conv2/conv2_1 | 10 | 2 | 4 vgg_16 | 224 | vgg_16/pool2 | 16 | 4 | 6 vgg_16 | 224 | vgg_16/conv3/conv3_1 | 24 | 4 | 10 vgg_16 | 224 | vgg_16/conv3/conv3_2 | 32 | 4 | 14 vgg_16 | 224 | vgg_16/pool3 | 44 | 8 | 18 vgg_16 | 224 | vgg_16/conv4/conv4_1 | 60 | 8 | 26 vgg_16 | 224 | vgg_16/conv4/conv4_2 | 76 | 8 | 34 vgg_16 | 224 | vgg_16/pool4 | 100 | 16 | 42 vgg_16 | 224 | vgg_16/conv5/conv5_1 | 132 | 16 | 58 vgg_16 | 224 | vgg_16/conv5/conv5_2 | 164 | 16 | 74 vgg_16 | 224 | vgg_16/pool5 | 212 | 32 | 90 vgg_16 | 321 | vgg_16/conv1/conv1_1 | 3 | 1 | 1 vgg_16 | 321 | vgg_16/pool1 | 6 | 2 | 2 vgg_16 | 321 | vgg_16/conv2/conv2_1 | 10 | 2 | 4 vgg_16 | 321 | vgg_16/pool2 | 16 | 4 | 6 vgg_16 | 321 | vgg_16/conv3/conv3_1 | 24 | 4 | 10 vgg_16 | 321 | vgg_16/conv3/conv3_2 | 32 | 4 | 14 vgg_16 | 321 | vgg_16/pool3 | 44 | 8 | 18 vgg_16 | 321 | vgg_16/conv4/conv4_1 | 60 | 8 | 26 vgg_16 | 321 | vgg_16/conv4/conv4_2 | 76 | 8 | 34 vgg_16 | 321 | vgg_16/pool4 | 100 | 16 | 42 vgg_16 | 321 | vgg_16/conv5/conv5_1 | 132 | 16 | 58 vgg_16 | 321 | vgg_16/conv5/conv5_2 | 164 | 16 | 74 vgg_16 | 321 | vgg_16/pool5 | 212 | 32 | 90 inception_v2 | None | Conv2d_1a_7x7 | 7 | 2 | None inception_v2 | None | MaxPool_2a_3x3 | 11 | 4 | None inception_v2 | None | Conv2d_2b_1x1 | 11 | 4 | None inception_v2 | None | Conv2d_2c_3x3 | 19 | 4 | None inception_v2 | None | MaxPool_3a_3x3 | 27 | 8 | None inception_v2 | None | Mixed_3b | 59 | 8 | None inception_v2 | None | Mixed_3c | 91 | 8 | None inception_v2 | None | Mixed_4a | 123 | 16 | None inception_v2 | None | Mixed_4b | 187 | 16 | None inception_v2 | None | Mixed_4c | 251 | 16 | None inception_v2 | None | Mixed_4d | 315 | 16 | None inception_v2 | None | Mixed_4e | 379 | 16 | None inception_v2 | None | Mixed_5a | 443 | 32 | None inception_v2 | None | Mixed_5b | 571 | 32 | None inception_v2 | None | Mixed_5c | 699 | 32 | None inception_v2 | 224 | Conv2d_1a_7x7 | 7 | 2 | 2 inception_v2 | 224 | MaxPool_2a_3x3 | 11 | 4 | 2 inception_v2 | 224 | Conv2d_2b_1x1 | 11 | 4 | 2 inception_v2 | 224 | Conv2d_2c_3x3 | 19 | 4 | 6 inception_v2 | 224 | MaxPool_3a_3x3 | 27 | 8 | 6 inception_v2 | 224 | Mixed_3b | 59 | 8 | 22 inception_v2 | 224 | Mixed_3c | 91 | 8 | 38 inception_v2 | 224 | Mixed_4a | 123 | 16 | 46 inception_v2 | 224 | Mixed_4b | 187 | 16 | 78 inception_v2 | 224 | Mixed_4c | 251 | 16 | 110 inception_v2 | 224 | Mixed_4d | 315 | 16 | 142 inception_v2 | 224 | Mixed_4e | 379 | 16 | 174 inception_v2 | 224 | Mixed_5a | 443 | 32 | 190 inception_v2 | 224 | Mixed_5b | 571 | 32 | 254 inception_v2 | 224 | Mixed_5c | 699 | 32 | 318 inception_v2 | 321 | Conv2d_1a_7x7 | 7 | 2 | 3 inception_v2 | 321 | MaxPool_2a_3x3 | 11 | 4 | 5 inception_v2 | 321 | Conv2d_2b_1x1 | 11 | 4 | 5 inception_v2 | 321 | Conv2d_2c_3x3 | 19 | 4 | 9 inception_v2 | 321 | MaxPool_3a_3x3 | 27 | 8 | 13 inception_v2 | 321 | Mixed_3b | 59 | 8 | 29 inception_v2 | 321 | Mixed_3c | 91 | 8 | 45 inception_v2 | 321 | Mixed_4a | 123 | 16 | 61 inception_v2 | 321 | Mixed_4b | 187 | 16 | 93 inception_v2 | 321 | Mixed_4c | 251 | 16 | 125 inception_v2 | 321 | Mixed_4d | 315 | 16 | 157 inception_v2 | 321 | Mixed_4e | 379 | 16 | 189 inception_v2 | 321 | Mixed_5a | 443 | 32 | 221 inception_v2 | 321 | Mixed_5b | 571 | 32 | 285 inception_v2 | 321 | Mixed_5c | 699 | 32 | 349 inception_v2-no-separable-conv | None | Conv2d_1a_7x7 | 7 | 2 | None inception_v2-no-separable-conv | None | MaxPool_2a_3x3 | 11 | 4 | None inception_v2-no-separable-conv | None | Conv2d_2b_1x1 | 11 | 4 | None inception_v2-no-separable-conv | None | Conv2d_2c_3x3 | 19 | 4 | None inception_v2-no-separable-conv | None | MaxPool_3a_3x3 | 27 | 8 | None inception_v2-no-separable-conv | None | Mixed_3b | 59 | 8 | None inception_v2-no-separable-conv | None | Mixed_3c | 91 | 8 | None inception_v2-no-separable-conv | None | Mixed_4a | 123 | 16 | None inception_v2-no-separable-conv | None | Mixed_4b | 187 | 16 | None inception_v2-no-separable-conv | None | Mixed_4c | 251 | 16 | None inception_v2-no-separable-conv | None | Mixed_4d | 315 | 16 | None inception_v2-no-separable-conv | None | Mixed_4e | 379 | 16 | None inception_v2-no-separable-conv | None | Mixed_5a | 443 | 32 | None inception_v2-no-separable-conv | None | Mixed_5b | 571 | 32 | None inception_v2-no-separable-conv | None | Mixed_5c | 699 | 32 | None inception_v2-no-separable-conv | 224 | Conv2d_1a_7x7 | 7 | 2 | 2 inception_v2-no-separable-conv | 224 | MaxPool_2a_3x3 | 11 | 4 | 2 inception_v2-no-separable-conv | 224 | Conv2d_2b_1x1 | 11 | 4 | 2 inception_v2-no-separable-conv | 224 | Conv2d_2c_3x3 | 19 | 4 | 6 inception_v2-no-separable-conv | 224 | MaxPool_3a_3x3 | 27 | 8 | 6 inception_v2-no-separable-conv | 224 | Mixed_3b | 59 | 8 | 22 inception_v2-no-separable-conv | 224 | Mixed_3c | 91 | 8 | 38 inception_v2-no-separable-conv | 224 | Mixed_4a | 123 | 16 | 46 inception_v2-no-separable-conv | 224 | Mixed_4b | 187 | 16 | 78 inception_v2-no-separable-conv | 224 | Mixed_4c | 251 | 16 | 110 inception_v2-no-separable-conv | 224 | Mixed_4d | 315 | 16 | 142 inception_v2-no-separable-conv | 224 | Mixed_4e | 379 | 16 | 174 inception_v2-no-separable-conv | 224 | Mixed_5a | 443 | 32 | 190 inception_v2-no-separable-conv | 224 | Mixed_5b | 571 | 32 | 254 inception_v2-no-separable-conv | 224 | Mixed_5c | 699 | 32 | 318 inception_v2-no-separable-conv | 321 | Conv2d_1a_7x7 | 7 | 2 | 3 inception_v2-no-separable-conv | 321 | MaxPool_2a_3x3 | 11 | 4 | 5 inception_v2-no-separable-conv | 321 | Conv2d_2b_1x1 | 11 | 4 | 5 inception_v2-no-separable-conv | 321 | Conv2d_2c_3x3 | 19 | 4 | 9 inception_v2-no-separable-conv | 321 | MaxPool_3a_3x3 | 27 | 8 | 13 inception_v2-no-separable-conv | 321 | Mixed_3b | 59 | 8 | 29 inception_v2-no-separable-conv | 321 | Mixed_3c | 91 | 8 | 45 inception_v2-no-separable-conv | 321 | Mixed_4a | 123 | 16 | 61 inception_v2-no-separable-conv | 321 | Mixed_4b | 187 | 16 | 93 inception_v2-no-separable-conv | 321 | Mixed_4c | 251 | 16 | 125 inception_v2-no-separable-conv | 321 | Mixed_4d | 315 | 16 | 157 inception_v2-no-separable-conv | 321 | Mixed_4e | 379 | 16 | 189 inception_v2-no-separable-conv | 321 | Mixed_5a | 443 | 32 | 221 inception_v2-no-separable-conv | 321 | Mixed_5b | 571 | 32 | 285 inception_v2-no-separable-conv | 321 | Mixed_5c | 699 | 32 | 349 inception_v3 | None | Conv2d_1a_3x3 | 3 | 2 | 0 inception_v3 | None | Conv2d_2a_3x3 | 7 | 2 | 0 inception_v3 | None | Conv2d_2b_3x3 | 11 | 2 | 2 inception_v3 | None | MaxPool_3a_3x3 | 15 | 4 | 2 inception_v3 | None | Conv2d_3b_1x1 | 15 | 4 | 2 inception_v3 | None | Conv2d_4a_3x3 | 23 | 4 | 2 inception_v3 | None | MaxPool_5a_3x3 | 31 | 8 | 2 inception_v3 | None | Mixed_5b | 63 | 8 | 18 inception_v3 | None | Mixed_5c | 95 | 8 | 34 inception_v3 | None | Mixed_5d | 127 | 8 | 50 inception_v3 | None | Mixed_6a | 159 | 16 | 58 inception_v3 | None | Mixed_6b | 351 | 16 | 154 inception_v3 | None | Mixed_6c | 543 | 16 | 250 inception_v3 | None | Mixed_6d | 735 | 16 | 346 inception_v3 | None | Mixed_6e | 927 | 16 | 442 inception_v3 | None | Mixed_7a | 1055 | 32 | 490 inception_v3 | None | Mixed_7b | 1183 | 32 | 554 inception_v3 | None | Mixed_7c | 1311 | 32 | 618 inception_v3 | 224 | Conv2d_1a_3x3 | 3 | 2 | 0 inception_v3 | 224 | Conv2d_2a_3x3 | 7 | 2 | 0 inception_v3 | 224 | Conv2d_2b_3x3 | 11 | 2 | 2 inception_v3 | 224 | MaxPool_3a_3x3 | 15 | 4 | 2 inception_v3 | 224 | Conv2d_3b_1x1 | 15 | 4 | 2 inception_v3 | 224 | Conv2d_4a_3x3 | 23 | 4 | 2 inception_v3 | 224 | MaxPool_5a_3x3 | 31 | 8 | 2 inception_v3 | 224 | Mixed_5b | 63 | 8 | 18 inception_v3 | 224 | Mixed_5c | 95 | 8 | 34 inception_v3 | 224 | Mixed_5d | 127 | 8 | 50 inception_v3 | 224 | Mixed_6a | 159 | 16 | 58 inception_v3 | 224 | Mixed_6b | 351 | 16 | 154 inception_v3 | 224 | Mixed_6c | 543 | 16 | 250 inception_v3 | 224 | Mixed_6d | 735 | 16 | 346 inception_v3 | 224 | Mixed_6e | 927 | 16 | 442 inception_v3 | 224 | Mixed_7a | 1055 | 32 | 490 inception_v3 | 224 | Mixed_7b | 1183 | 32 | 554 inception_v3 | 224 | Mixed_7c | 1311 | 32 | 618 inception_v3 | 321 | Conv2d_1a_3x3 | 3 | 2 | 0 inception_v3 | 321 | Conv2d_2a_3x3 | 7 | 2 | 0 inception_v3 | 321 | Conv2d_2b_3x3 | 11 | 2 | 2 inception_v3 | 321 | MaxPool_3a_3x3 | 15 | 4 | 2 inception_v3 | 321 | Conv2d_3b_1x1 | 15 | 4 | 2 inception_v3 | 321 | Conv2d_4a_3x3 | 23 | 4 | 2 inception_v3 | 321 | MaxPool_5a_3x3 | 31 | 8 | 2 inception_v3 | 321 | Mixed_5b | 63 | 8 | 18 inception_v3 | 321 | Mixed_5c | 95 | 8 | 34 inception_v3 | 321 | Mixed_5d | 127 | 8 | 50 inception_v3 | 321 | Mixed_6a | 159 | 16 | 58 inception_v3 | 321 | Mixed_6b | 351 | 16 | 154 inception_v3 | 321 | Mixed_6c | 543 | 16 | 250 inception_v3 | 321 | Mixed_6d | 735 | 16 | 346 inception_v3 | 321 | Mixed_6e | 927 | 16 | 442 inception_v3 | 321 | Mixed_7a | 1055 | 32 | 490 inception_v3 | 321 | Mixed_7b | 1183 | 32 | 554 inception_v3 | 321 | Mixed_7c | 1311 | 32 | 618 inception_v4 | None | Conv2d_1a_3x3 | 3 | 2 | 0 inception_v4 | None | Conv2d_2a_3x3 | 7 | 2 | 0 inception_v4 | None | Conv2d_2b_3x3 | 11 | 2 | 2 inception_v4 | None | Mixed_3a | 15 | 4 | 2 inception_v4 | None | Mixed_4a | 47 | 4 | 14 inception_v4 | None | Mixed_5a | 55 | 8 | 14 inception_v4 | None | Mixed_5b | 87 | 8 | 30 inception_v4 | None | Mixed_5c | 119 | 8 | 46 inception_v4 | None | Mixed_5d | 151 | 8 | 62 inception_v4 | None | Mixed_5e | 183 | 8 | 78 inception_v4 | None | Mixed_6a | 215 | 16 | 86 inception_v4 | None | Mixed_6b | 407 | 16 | 182 inception_v4 | None | Mixed_6c | 599 | 16 | 278 inception_v4 | None | Mixed_6d | 791 | 16 | 374 inception_v4 | None | Mixed_6e | 983 | 16 | 470 inception_v4 | None | Mixed_6f | 1175 | 16 | 566 inception_v4 | None | Mixed_6g | 1367 | 16 | 662 inception_v4 | None | Mixed_6h | 1559 | 16 | 758 inception_v4 | None | Mixed_7a | 1687 | 32 | 806 inception_v4 | None | Mixed_7b | 1815 | 32 | 870 inception_v4 | None | Mixed_7c | 1943 | 32 | 934 inception_v4 | None | Mixed_7d | 2071 | 32 | 998 inception_v4 | 224 | Conv2d_1a_3x3 | 3 | 2 | 0 inception_v4 | 224 | Conv2d_2a_3x3 | 7 | 2 | 0 inception_v4 | 224 | Conv2d_2b_3x3 | 11 | 2 | 2 inception_v4 | 224 | Mixed_3a | 15 | 4 | 2 inception_v4 | 224 | Mixed_4a | 47 | 4 | 14 inception_v4 | 224 | Mixed_5a | 55 | 8 | 14 inception_v4 | 224 | Mixed_5b | 87 | 8 | 30 inception_v4 | 224 | Mixed_5c | 119 | 8 | 46 inception_v4 | 224 | Mixed_5d | 151 | 8 | 62 inception_v4 | 224 | Mixed_5e | 183 | 8 | 78 inception_v4 | 224 | Mixed_6a | 215 | 16 | 86 inception_v4 | 224 | Mixed_6b | 407 | 16 | 182 inception_v4 | 224 | Mixed_6c | 599 | 16 | 278 inception_v4 | 224 | Mixed_6d | 791 | 16 | 374 inception_v4 | 224 | Mixed_6e | 983 | 16 | 470 inception_v4 | 224 | Mixed_6f | 1175 | 16 | 566 inception_v4 | 224 | Mixed_6g | 1367 | 16 | 662 inception_v4 | 224 | Mixed_6h | 1559 | 16 | 758 inception_v4 | 224 | Mixed_7a | 1687 | 32 | 806 inception_v4 | 224 | Mixed_7b | 1815 | 32 | 870 inception_v4 | 224 | Mixed_7c | 1943 | 32 | 934 inception_v4 | 224 | Mixed_7d | 2071 | 32 | 998 inception_v4 | 321 | Conv2d_1a_3x3 | 3 | 2 | 0 inception_v4 | 321 | Conv2d_2a_3x3 | 7 | 2 | 0 inception_v4 | 321 | Conv2d_2b_3x3 | 11 | 2 | 2 inception_v4 | 321 | Mixed_3a | 15 | 4 | 2 inception_v4 | 321 | Mixed_4a | 47 | 4 | 14 inception_v4 | 321 | Mixed_5a | 55 | 8 | 14 inception_v4 | 321 | Mixed_5b | 87 | 8 | 30 inception_v4 | 321 | Mixed_5c | 119 | 8 | 46 inception_v4 | 321 | Mixed_5d | 151 | 8 | 62 inception_v4 | 321 | Mixed_5e | 183 | 8 | 78 inception_v4 | 321 | Mixed_6a | 215 | 16 | 86 inception_v4 | 321 | Mixed_6b | 407 | 16 | 182 inception_v4 | 321 | Mixed_6c | 599 | 16 | 278 inception_v4 | 321 | Mixed_6d | 791 | 16 | 374 inception_v4 | 321 | Mixed_6e | 983 | 16 | 470 inception_v4 | 321 | Mixed_6f | 1175 | 16 | 566 inception_v4 | 321 | Mixed_6g | 1367 | 16 | 662 inception_v4 | 321 | Mixed_6h | 1559 | 16 | 758 inception_v4 | 321 | Mixed_7a | 1687 | 32 | 806 inception_v4 | 321 | Mixed_7b | 1815 | 32 | 870 inception_v4 | 321 | Mixed_7c | 1943 | 32 | 934 inception_v4 | 321 | Mixed_7d | 2071 | 32 | 998 inception_resnet_v2 | None | Conv2d_1a_3x3 | 3 | 2 | 0 inception_resnet_v2 | None | Conv2d_2a_3x3 | 7 | 2 | 0 inception_resnet_v2 | None | Conv2d_2b_3x3 | 11 | 2 | 2 inception_resnet_v2 | None | MaxPool_3a_3x3 | 15 | 4 | 2 inception_resnet_v2 | None | Conv2d_3b_1x1 | 15 | 4 | 2 inception_resnet_v2 | None | Conv2d_4a_3x3 | 23 | 4 | 2 inception_resnet_v2 | None | MaxPool_5a_3x3 | 31 | 8 | 2 inception_resnet_v2 | None | Mixed_5b | 63 | 8 | 18 inception_resnet_v2 | None | Mixed_6a | 415 | 16 | 186 inception_resnet_v2 | None | PreAuxLogits | 2335 | 16 | 1146 inception_resnet_v2 | None | Mixed_7a | 2399 | 32 | 1162 inception_resnet_v2 | None | Conv2d_7b_1x1 | 3039 | 32 | 1482 inception_resnet_v2 | 224 | Conv2d_1a_3x3 | 3 | 2 | 0 inception_resnet_v2 | 224 | Conv2d_2a_3x3 | 7 | 2 | 0 inception_resnet_v2 | 224 | Conv2d_2b_3x3 | 11 | 2 | 2 inception_resnet_v2 | 224 | MaxPool_3a_3x3 | 15 | 4 | 2 inception_resnet_v2 | 224 | Conv2d_3b_1x1 | 15 | 4 | 2 inception_resnet_v2 | 224 | Conv2d_4a_3x3 | 23 | 4 | 2 inception_resnet_v2 | 224 | MaxPool_5a_3x3 | 31 | 8 | 2 inception_resnet_v2 | 224 | Mixed_5b | 63 | 8 | 18 inception_resnet_v2 | 224 | Mixed_6a | 415 | 16 | 186 inception_resnet_v2 | 224 | PreAuxLogits | 2335 | 16 | 1146 inception_resnet_v2 | 224 | Mixed_7a | 2399 | 32 | 1162 inception_resnet_v2 | 224 | Conv2d_7b_1x1 | 3039 | 32 | 1482 inception_resnet_v2 | 321 | Conv2d_1a_3x3 | 3 | 2 | 0 inception_resnet_v2 | 321 | Conv2d_2a_3x3 | 7 | 2 | 0 inception_resnet_v2 | 321 | Conv2d_2b_3x3 | 11 | 2 | 2 inception_resnet_v2 | 321 | MaxPool_3a_3x3 | 15 | 4 | 2 inception_resnet_v2 | 321 | Conv2d_3b_1x1 | 15 | 4 | 2 inception_resnet_v2 | 321 | Conv2d_4a_3x3 | 23 | 4 | 2 inception_resnet_v2 | 321 | MaxPool_5a_3x3 | 31 | 8 | 2 inception_resnet_v2 | 321 | Mixed_5b | 63 | 8 | 18 inception_resnet_v2 | 321 | Mixed_6a | 415 | 16 | 186 inception_resnet_v2 | 321 | PreAuxLogits | 2335 | 16 | 1146 inception_resnet_v2 | 321 | Mixed_7a | 2399 | 32 | 1162 inception_resnet_v2 | 321 | Conv2d_7b_1x1 | 3039 | 32 | 1482 inception_resnet_v2-same | None | Conv2d_1a_3x3 | 3 | 2 | None inception_resnet_v2-same | None | Conv2d_2a_3x3 | 7 | 2 | None inception_resnet_v2-same | None | Conv2d_2b_3x3 | 11 | 2 | None inception_resnet_v2-same | None | MaxPool_3a_3x3 | 15 | 4 | None inception_resnet_v2-same | None | Conv2d_3b_1x1 | 15 | 4 | None inception_resnet_v2-same | None | Conv2d_4a_3x3 | 23 | 4 | None inception_resnet_v2-same | None | MaxPool_5a_3x3 | 31 | 8 | None inception_resnet_v2-same | None | Mixed_5b | 63 | 8 | None inception_resnet_v2-same | None | Mixed_6a | 415 | 16 | None inception_resnet_v2-same | None | PreAuxLogits | 2335 | 16 | None inception_resnet_v2-same | None | Mixed_7a | 2399 | 32 | None inception_resnet_v2-same | None | Conv2d_7b_1x1 | 3039 | 32 | None inception_resnet_v2-same | 224 | Conv2d_1a_3x3 | 3 | 2 | 0 inception_resnet_v2-same | 224 | Conv2d_2a_3x3 | 7 | 2 | 2 inception_resnet_v2-same | 224 | Conv2d_2b_3x3 | 11 | 2 | 4 inception_resnet_v2-same | 224 | MaxPool_3a_3x3 | 15 | 4 | 4 inception_resnet_v2-same | 224 | Conv2d_3b_1x1 | 15 | 4 | 4 inception_resnet_v2-same | 224 | Conv2d_4a_3x3 | 23 | 4 | 8 inception_resnet_v2-same | 224 | MaxPool_5a_3x3 | 31 | 8 | 8 inception_resnet_v2-same | 224 | Mixed_5b | 63 | 8 | 24 inception_resnet_v2-same | 224 | Mixed_6a | 415 | 16 | 192 inception_resnet_v2-same | 224 | PreAuxLogits | 2335 | 16 | 1152 inception_resnet_v2-same | 224 | Mixed_7a | 2399 | 32 | 1168 inception_resnet_v2-same | 224 | Conv2d_7b_1x1 | 3039 | 32 | 1488 inception_resnet_v2-same | 321 | Conv2d_1a_3x3 | 3 | 2 | 1 inception_resnet_v2-same | 321 | Conv2d_2a_3x3 | 7 | 2 | 3 inception_resnet_v2-same | 321 | Conv2d_2b_3x3 | 11 | 2 | 5 inception_resnet_v2-same | 321 | MaxPool_3a_3x3 | 15 | 4 | 7 inception_resnet_v2-same | 321 | Conv2d_3b_1x1 | 15 | 4 | 7 inception_resnet_v2-same | 321 | Conv2d_4a_3x3 | 23 | 4 | 11 inception_resnet_v2-same | 321 | MaxPool_5a_3x3 | 31 | 8 | 15 inception_resnet_v2-same | 321 | Mixed_5b | 63 | 8 | 31 inception_resnet_v2-same | 321 | Mixed_6a | 415 | 16 | 207 inception_resnet_v2-same | 321 | PreAuxLogits | 2335 | 16 | 1167 inception_resnet_v2-same | 321 | Mixed_7a | 2399 | 32 | 1199 inception_resnet_v2-same | 321 | Conv2d_7b_1x1 | 3039 | 32 | 1519 mobilenet_v1 | None | Conv2d_0 | 3 | 2 | None mobilenet_v1 | None | Conv2d_1_pointwise | 7 | 2 | None mobilenet_v1 | None | Conv2d_2_pointwise | 11 | 4 | None mobilenet_v1 | None | Conv2d_3_pointwise | 19 | 4 | None mobilenet_v1 | None | Conv2d_4_pointwise | 27 | 8 | None mobilenet_v1 | None | Conv2d_5_pointwise | 43 | 8 | None mobilenet_v1 | None | Conv2d_6_pointwise | 59 | 16 | None mobilenet_v1 | None | Conv2d_7_pointwise | 91 | 16 | None mobilenet_v1 | None | Conv2d_8_pointwise | 123 | 16 | None mobilenet_v1 | None | Conv2d_9_pointwise | 155 | 16 | None mobilenet_v1 | None | Conv2d_10_pointwise | 187 | 16 | None mobilenet_v1 | None | Conv2d_11_pointwise | 219 | 16 | None mobilenet_v1 | None | Conv2d_12_pointwise | 251 | 32 | None mobilenet_v1 | None | Conv2d_13_pointwise | 315 | 32 | None mobilenet_v1 | 224 | Conv2d_0 | 3 | 2 | 0 mobilenet_v1 | 224 | Conv2d_1_pointwise | 7 | 2 | 2 mobilenet_v1 | 224 | Conv2d_2_pointwise | 11 | 4 | 2 mobilenet_v1 | 224 | Conv2d_3_pointwise | 19 | 4 | 6 mobilenet_v1 | 224 | Conv2d_4_pointwise | 27 | 8 | 6 mobilenet_v1 | 224 | Conv2d_5_pointwise | 43 | 8 | 14 mobilenet_v1 | 224 | Conv2d_6_pointwise | 59 | 16 | 14 mobilenet_v1 | 224 | Conv2d_7_pointwise | 91 | 16 | 30 mobilenet_v1 | 224 | Conv2d_8_pointwise | 123 | 16 | 46 mobilenet_v1 | 224 | Conv2d_9_pointwise | 155 | 16 | 62 mobilenet_v1 | 224 | Conv2d_10_pointwise | 187 | 16 | 78 mobilenet_v1 | 224 | Conv2d_11_pointwise | 219 | 16 | 94 mobilenet_v1 | 224 | Conv2d_12_pointwise | 251 | 32 | 94 mobilenet_v1 | 224 | Conv2d_13_pointwise | 315 | 32 | 126 mobilenet_v1 | 321 | Conv2d_0 | 3 | 2 | 1 mobilenet_v1 | 321 | Conv2d_1_pointwise | 7 | 2 | 3 mobilenet_v1 | 321 | Conv2d_2_pointwise | 11 | 4 | 5 mobilenet_v1 | 321 | Conv2d_3_pointwise | 19 | 4 | 9 mobilenet_v1 | 321 | Conv2d_4_pointwise | 27 | 8 | 13 mobilenet_v1 | 321 | Conv2d_5_pointwise | 43 | 8 | 21 mobilenet_v1 | 321 | Conv2d_6_pointwise | 59 | 16 | 29 mobilenet_v1 | 321 | Conv2d_7_pointwise | 91 | 16 | 45 mobilenet_v1 | 321 | Conv2d_8_pointwise | 123 | 16 | 61 mobilenet_v1 | 321 | Conv2d_9_pointwise | 155 | 16 | 77 mobilenet_v1 | 321 | Conv2d_10_pointwise | 187 | 16 | 93 mobilenet_v1 | 321 | Conv2d_11_pointwise | 219 | 16 | 109 mobilenet_v1 | 321 | Conv2d_12_pointwise | 251 | 32 | 125 mobilenet_v1 | 321 | Conv2d_13_pointwise | 315 | 32 | 157 mobilenet_v1_075 | None | Conv2d_0 | 3 | 2 | None mobilenet_v1_075 | None | Conv2d_1_pointwise | 7 | 2 | None mobilenet_v1_075 | None | Conv2d_2_pointwise | 11 | 4 | None mobilenet_v1_075 | None | Conv2d_3_pointwise | 19 | 4 | None mobilenet_v1_075 | None | Conv2d_4_pointwise | 27 | 8 | None mobilenet_v1_075 | None | Conv2d_5_pointwise | 43 | 8 | None mobilenet_v1_075 | None | Conv2d_6_pointwise | 59 | 16 | None mobilenet_v1_075 | None | Conv2d_7_pointwise | 91 | 16 | None mobilenet_v1_075 | None | Conv2d_8_pointwise | 123 | 16 | None mobilenet_v1_075 | None | Conv2d_9_pointwise | 155 | 16 | None mobilenet_v1_075 | None | Conv2d_10_pointwise | 187 | 16 | None mobilenet_v1_075 | None | Conv2d_11_pointwise | 219 | 16 | None mobilenet_v1_075 | None | Conv2d_12_pointwise | 251 | 32 | None mobilenet_v1_075 | None | Conv2d_13_pointwise | 315 | 32 | None mobilenet_v1_075 | 224 | Conv2d_0 | 3 | 2 | 0 mobilenet_v1_075 | 224 | Conv2d_1_pointwise | 7 | 2 | 2 mobilenet_v1_075 | 224 | Conv2d_2_pointwise | 11 | 4 | 2 mobilenet_v1_075 | 224 | Conv2d_3_pointwise | 19 | 4 | 6 mobilenet_v1_075 | 224 | Conv2d_4_pointwise | 27 | 8 | 6 mobilenet_v1_075 | 224 | Conv2d_5_pointwise | 43 | 8 | 14 mobilenet_v1_075 | 224 | Conv2d_6_pointwise | 59 | 16 | 14 mobilenet_v1_075 | 224 | Conv2d_7_pointwise | 91 | 16 | 30 mobilenet_v1_075 | 224 | Conv2d_8_pointwise | 123 | 16 | 46 mobilenet_v1_075 | 224 | Conv2d_9_pointwise | 155 | 16 | 62 mobilenet_v1_075 | 224 | Conv2d_10_pointwise | 187 | 16 | 78 mobilenet_v1_075 | 224 | Conv2d_11_pointwise | 219 | 16 | 94 mobilenet_v1_075 | 224 | Conv2d_12_pointwise | 251 | 32 | 94 mobilenet_v1_075 | 224 | Conv2d_13_pointwise | 315 | 32 | 126 mobilenet_v1_075 | 321 | Conv2d_0 | 3 | 2 | 1 mobilenet_v1_075 | 321 | Conv2d_1_pointwise | 7 | 2 | 3 mobilenet_v1_075 | 321 | Conv2d_2_pointwise | 11 | 4 | 5 mobilenet_v1_075 | 321 | Conv2d_3_pointwise | 19 | 4 | 9 mobilenet_v1_075 | 321 | Conv2d_4_pointwise | 27 | 8 | 13 mobilenet_v1_075 | 321 | Conv2d_5_pointwise | 43 | 8 | 21 mobilenet_v1_075 | 321 | Conv2d_6_pointwise | 59 | 16 | 29 mobilenet_v1_075 | 321 | Conv2d_7_pointwise | 91 | 16 | 45 mobilenet_v1_075 | 321 | Conv2d_8_pointwise | 123 | 16 | 61 mobilenet_v1_075 | 321 | Conv2d_9_pointwise | 155 | 16 | 77 mobilenet_v1_075 | 321 | Conv2d_10_pointwise | 187 | 16 | 93 mobilenet_v1_075 | 321 | Conv2d_11_pointwise | 219 | 16 | 109 mobilenet_v1_075 | 321 | Conv2d_12_pointwise | 251 | 32 | 125 mobilenet_v1_075 | 321 | Conv2d_13_pointwise | 315 | 32 | 157 resnet_v1_50 | None | resnet_v1_50/block1 | 35 | 8 | None resnet_v1_50 | None | resnet_v1_50/block2 | 99 | 16 | None resnet_v1_50 | None | resnet_v1_50/block3 | 291 | 32 | None resnet_v1_50 | None | resnet_v1_50/block4 | 483 | 32 | None resnet_v1_50 | 224 | resnet_v1_50/block1 | 35 | 8 | 15 resnet_v1_50 | 224 | resnet_v1_50/block2 | 99 | 16 | 47 resnet_v1_50 | 224 | resnet_v1_50/block3 | 291 | 32 | 143 resnet_v1_50 | 224 | resnet_v1_50/block4 | 483 | 32 | 239 resnet_v1_50 | 321 | resnet_v1_50/block1 | 35 | 8 | 17 resnet_v1_50 | 321 | resnet_v1_50/block2 | 99 | 16 | 49 resnet_v1_50 | 321 | resnet_v1_50/block3 | 291 | 32 | 145 resnet_v1_50 | 321 | resnet_v1_50/block4 | 483 | 32 | 241 resnet_v1_101 | None | resnet_v1_101/block1 | 35 | 8 | None resnet_v1_101 | None | resnet_v1_101/block2 | 99 | 16 | None resnet_v1_101 | None | resnet_v1_101/block3 | 835 | 32 | None resnet_v1_101 | None | resnet_v1_101/block4 | 1027 | 32 | None resnet_v1_101 | 224 | resnet_v1_101/block1 | 35 | 8 | 15 resnet_v1_101 | 224 | resnet_v1_101/block2 | 99 | 16 | 47 resnet_v1_101 | 224 | resnet_v1_101/block3 | 835 | 32 | 415 resnet_v1_101 | 224 | resnet_v1_101/block4 | 1027 | 32 | 511 resnet_v1_101 | 321 | resnet_v1_101/block1 | 35 | 8 | 17 resnet_v1_101 | 321 | resnet_v1_101/block2 | 99 | 16 | 49 resnet_v1_101 | 321 | resnet_v1_101/block3 | 835 | 32 | 417 resnet_v1_101 | 321 | resnet_v1_101/block4 | 1027 | 32 | 513 resnet_v1_152 | None | resnet_v1_152/block1 | 35 | 8 | None resnet_v1_152 | None | resnet_v1_152/block2 | 163 | 16 | None resnet_v1_152 | None | resnet_v1_152/block3 | 1315 | 32 | None resnet_v1_152 | None | resnet_v1_152/block4 | 1507 | 32 | None resnet_v1_152 | 224 | resnet_v1_152/block1 | 35 | 8 | 15 resnet_v1_152 | 224 | resnet_v1_152/block2 | 163 | 16 | 79 resnet_v1_152 | 224 | resnet_v1_152/block3 | 1315 | 32 | 655 resnet_v1_152 | 224 | resnet_v1_152/block4 | 1507 | 32 | 751 resnet_v1_152 | 321 | resnet_v1_152/block1 | 35 | 8 | 17 resnet_v1_152 | 321 | resnet_v1_152/block2 | 163 | 16 | 81 resnet_v1_152 | 321 | resnet_v1_152/block3 | 1315 | 32 | 657 resnet_v1_152 | 321 | resnet_v1_152/block4 | 1507 | 32 | 753 resnet_v1_200 | None | resnet_v1_200/block1 | 35 | 8 | None resnet_v1_200 | None | resnet_v1_200/block2 | 419 | 16 | None resnet_v1_200 | None | resnet_v1_200/block3 | 1571 | 32 | None resnet_v1_200 | None | resnet_v1_200/block4 | 1763 | 32 | None resnet_v1_200 | 224 | resnet_v1_200/block1 | 35 | 8 | 15 resnet_v1_200 | 224 | resnet_v1_200/block2 | 419 | 16 | 207 resnet_v1_200 | 224 | resnet_v1_200/block3 | 1571 | 32 | 783 resnet_v1_200 | 224 | resnet_v1_200/block4 | 1763 | 32 | 879 resnet_v1_200 | 321 | resnet_v1_200/block1 | 35 | 8 | 17 resnet_v1_200 | 321 | resnet_v1_200/block2 | 419 | 16 | 209 resnet_v1_200 | 321 | resnet_v1_200/block3 | 1571 | 32 | 785 resnet_v1_200 | 321 | resnet_v1_200/block4 | 1763 | 32 | 881 resnet_v2_50 | None | resnet_v2_50/block1 | 35 | 8 | None resnet_v2_50 | None | resnet_v2_50/block2 | 99 | 16 | None resnet_v2_50 | None | resnet_v2_50/block3 | 291 | 32 | None resnet_v2_50 | None | resnet_v2_50/block4 | 483 | 32 | None resnet_v2_50 | 224 | resnet_v2_50/block1 | 35 | 8 | 15 resnet_v2_50 | 224 | resnet_v2_50/block2 | 99 | 16 | 47 resnet_v2_50 | 224 | resnet_v2_50/block3 | 291 | 32 | 143 resnet_v2_50 | 224 | resnet_v2_50/block4 | 483 | 32 | 239 resnet_v2_50 | 321 | resnet_v2_50/block1 | 35 | 8 | 17 resnet_v2_50 | 321 | resnet_v2_50/block2 | 99 | 16 | 49 resnet_v2_50 | 321 | resnet_v2_50/block3 | 291 | 32 | 145 resnet_v2_50 | 321 | resnet_v2_50/block4 | 483 | 32 | 241 resnet_v2_101 | None | resnet_v2_101/block1 | 35 | 8 | None resnet_v2_101 | None | resnet_v2_101/block2 | 99 | 16 | None resnet_v2_101 | None | resnet_v2_101/block3 | 835 | 32 | None resnet_v2_101 | None | resnet_v2_101/block4 | 1027 | 32 | None resnet_v2_101 | 224 | resnet_v2_101/block1 | 35 | 8 | 15 resnet_v2_101 | 224 | resnet_v2_101/block2 | 99 | 16 | 47 resnet_v2_101 | 224 | resnet_v2_101/block3 | 835 | 32 | 415 resnet_v2_101 | 224 | resnet_v2_101/block4 | 1027 | 32 | 511 resnet_v2_101 | 321 | resnet_v2_101/block1 | 35 | 8 | 17 resnet_v2_101 | 321 | resnet_v2_101/block2 | 99 | 16 | 49 resnet_v2_101 | 321 | resnet_v2_101/block3 | 835 | 32 | 417 resnet_v2_101 | 321 | resnet_v2_101/block4 | 1027 | 32 | 513 resnet_v2_152 | None | resnet_v2_152/block1 | 35 | 8 | None resnet_v2_152 | None | resnet_v2_152/block2 | 163 | 16 | None resnet_v2_152 | None | resnet_v2_152/block3 | 1315 | 32 | None resnet_v2_152 | None | resnet_v2_152/block4 | 1507 | 32 | None resnet_v2_152 | 224 | resnet_v2_152/block1 | 35 | 8 | 15 resnet_v2_152 | 224 | resnet_v2_152/block2 | 163 | 16 | 79 resnet_v2_152 | 224 | resnet_v2_152/block3 | 1315 | 32 | 655 resnet_v2_152 | 224 | resnet_v2_152/block4 | 1507 | 32 | 751 resnet_v2_152 | 321 | resnet_v2_152/block1 | 35 | 8 | 17 resnet_v2_152 | 321 | resnet_v2_152/block2 | 163 | 16 | 81 resnet_v2_152 | 321 | resnet_v2_152/block3 | 1315 | 32 | 657 resnet_v2_152 | 321 | resnet_v2_152/block4 | 1507 | 32 | 753 resnet_v2_200 | None | resnet_v2_200/block1 | 35 | 8 | None resnet_v2_200 | None | resnet_v2_200/block2 | 419 | 16 | None resnet_v2_200 | None | resnet_v2_200/block3 | 1571 | 32 | None resnet_v2_200 | None | resnet_v2_200/block4 | 1763 | 32 | None resnet_v2_200 | 224 | resnet_v2_200/block1 | 35 | 8 | 15 resnet_v2_200 | 224 | resnet_v2_200/block2 | 419 | 16 | 207 resnet_v2_200 | 224 | resnet_v2_200/block3 | 1571 | 32 | 783 resnet_v2_200 | 224 | resnet_v2_200/block4 | 1763 | 32 | 879 resnet_v2_200 | 321 | resnet_v2_200/block1 | 35 | 8 | 17 resnet_v2_200 | 321 | resnet_v2_200/block2 | 419 | 16 | 209 resnet_v2_200 | 321 | resnet_v2_200/block3 | 1571 | 32 | 785 resnet_v2_200 | 321 | resnet_v2_200/block4 | 1763 | 32 | 881 ## FAQ ### What does a resolution of 'None' mean? In this case, the input resolution is undefined. For most models, the receptive field parameters can be computed even without knowing the input resolution. ### For some networks, effective_padding shows as 'None' (eg, for Inception_v2 or Mobilenet_v1 when input size is not specified). Why is that? This means that the padding for these networks depends on the input size. So, unless we know exactly the input image dimensionality to be used, it is not possible to determine the padding applied at the different layers. Look at the other entries where the input size is fixed; for those cases, effective_padding is not None. This happens due to Tensorflow's implementation of the 'SAME' padding mode, which may depend on the input feature map size to a given layer. For background on this, see [these notes from the TF documentation](https://www.tensorflow.org/versions/master/api_guides/python/nn#Notes_on_SAME_Convolution_Padding). Also, note that in this case the program is not able to check if the network is aligned (ie, it could be that the different paths from input to output have receptive fields which are not consistently centered at the same position in the input image). So you should be aware that such networks might not be aligned -- the program has no way of checking it when the padding cannot be determined. ### The receptive field parameters for network X seem different from what I expected... maybe your calculation is incorrect? First, note that the results presented here are based on the tensorflow implementations from the [TF-Slim model library](https://github.com/tensorflow/models/tree/master/research/slim). So, it is possible that due to some implementation details the RF parameters are different. One common case of confusion is the TF-Slim Resnet implementation, which applies stride in the last residual unit of each block, instead of at the input activations in the first residual unit of each block (which is what is described in the Resnet paper) -- see [this comment](https://github.com/tensorflow/models/blob/master/research/slim/nets/resnet_utils.py#L30). This makes the stride with respect to each convolution block potentially different. In this case, though, note that a [flag](https://github.com/tensorflow/models/blob/master/research/slim/nets/resnet_v1.py#L150) may be used to recover the original striding convention. Second, it could be that we have a bug somewhere. While we include [many tests](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/receptive_field/python/util/receptive_field_test.py) in our library, it is always possible that we missed something. If you suspect this is happening, please file a GitHub issue [here](https://github.com/tensorflow/tensorflow/issues).