Update info about ShuffleNetV2 x1.5 model

osmr · Sep 29, 2018 · 677be6e · 677be6e
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diff --git a/README.md b/README.md
@@ -147,7 +147,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the
 | ResNet-12 | 35.86 | 14.46 | 5,492,776 | 1,124.23M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.30/resnet12-1446-9ce715b0.params.log)) |
 | ResNet-14 | 32.85 | 12.41 | 5,788,200 | 1,355.64M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.40/resnet14-1241-a8955ff3.params.log)) |
 | ResNet-16 | 30.68 | 11.10 | 6,968,872 | 1,586.95M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.41/resnet16-1110-1be996d1.params.log)) |
-| ResNet-18 x0.25 | 49.16 | 24.45 | 831,096 | 136.64M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.47/resnet18_wd4-2445-28d15cf4.params)) |
+| ResNet-18 x0.25 | 49.16 | 24.45 | 831,096 | 136.64M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.47/resnet18_wd4-2445-28d15cf4.params.log)) |
 | ResNet-18 x0.5 | 36.54 | 14.96 | 3,055,880 | 485.22M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.46/resnet18_wd2-1496-d839c509.params.log)) |
 | ResNet-18 x0.75 | 33.25 | 12.54 | 6,675,352 | 1,045.75M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.18/resnet18_w3d4-1254-d6548612.params.log)) |
 | ResNet-18 | 29.13 | 9.94 | 11,689,512 | 1,818.21M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.1/resnet18-0994-ae25f2b2.params.log)) |
@@ -190,6 +190,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the
 | SqueezeNet v1.1 | 41.37 | 19.20 | 1,235,496 | 354.88M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.15/squeezenet_v1_1-1920-6d01104e.params.log)) |
 | ShuffleNetV2 x0.5 | 41.20 | 18.90 | 1,366,792 | 42.34M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.37/shufflenetv2_wd2-1890-9c617398.params.log)) |
 | ShuffleNetV2 x1.0 | 33.97 | 13.41 | 2,278,604 | 147.92M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.48/shufflenetv2_w1-1341-275f1d2e.params.log)) |
+| ShuffleNetV2 x1.5 | 32.38 | 12.37 | 4,406,098 | 318.61M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.65/shufflenetv2_w3d2-1237-08c01388.params.log)) |
 | 108-MENet-8x1 (g=3) | 46.11 | 22.37 | 654,516 | 40.64M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.6/menet108_8x1_g3-2237-d3bb5a4f.params.log)) |
 | 128-MENet-8x1 (g=4) | 45.80 | 21.93 | 750,796 | 43.58M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.6/menet128_8x1_g4-2193-fe760f0d.params.log)) |
 | 228-MENet-12x1 (g=3) | 35.03 | 13.99 | 1,806,568 | 148.93M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.6/menet228_12x1_g3-1399-8c28d22f.params.log)) |
@@ -261,6 +262,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the
 | SqueezeNet v1.1 | 41.82 | 19.38 | 1,235,496 | 354.88M | Converted from TorchVision ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.5/squeezenet_v1_1-1938-8dcd1cc5.pth.log)) |
 | ShuffleNetV2 x0.5 | 41.66 | 19.38 | 1,366,792 | 42.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.37/shufflenetv2_wd2-1938-d7b48d82.pth.log)) |
 | ShuffleNetV2 x1.0 | 34.39 | 13.78 | 2,278,604 | 147.92M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.48/shufflenetv2_w1-1378-dc6a33c9.pth.log)) |
+| ShuffleNetV2 x1.5 | 32.82 | 12.69 | 4,406,098 | 318.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.65/shufflenetv2_w3d2-1269-536ad5b1.pth.log)) |
 | 108-MENet-8x1 (g=3) | 43.92 | 20.76 | 654,516 | 40.64M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.6/menet108_8x1_g3-2076-7f47b37e.pth.log)) |
 | 128-MENet-8x1 (g=4) | 43.95 | 20.62 | 750,796 | 43.58M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.6/menet128_8x1_g4-2062-dd4531fd.pth.log)) |
 | 228-MENet-12x1 (g=3) | 33.57 | 13.28 | 1,806,568 | 148.93M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.6/menet228_12x1_g3-1328-27991387.pth.log)) |
@@ -332,6 +334,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the
 | SqueezeNet v1.1 | 41.36 | 19.25 | 1,235,496 | 354.88M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.20/squeezenet_v1_1-1925-0ca73cf3.npz.log)) |
 | ShuffleNetV2 x0.5 | 43.77 | 21.17 | 1,366,792 | 42.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.37/shufflenetv2_wd2-2117-b19589d8.npz.log)) |
 | ShuffleNetV2 x1.0 | 36.48 | 15.19 | 2,278,604 | 147.92M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.48/shufflenetv2_w1-1519-2156e7df.npz.log)) |
+| ShuffleNetV2 x1.5 | 33.96 | 13.37 | 4,406,098 | 318.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.65/shufflenetv2_w3d2-1337-66c1d6ed.npz.log)) |
 | 108-MENet-8x1 (g=3) | 46.07 | 22.42 | 654,516 | 40.64M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.33/menet108_8x1_g3-2242-7c1b69e0.npz.log)) |
 | 128-MENet-8x1 (g=4) | 45.82 | 21.91 | 750,796 | 43.58M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.33/menet128_8x1_g4-2191-4d64040c.npz.log)) |
 | 228-MENet-12x1 (g=3) | 34.93 | 14.01 | 1,806,568 | 148.93M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.33/menet228_12x1_g3-1401-07a0ace2.npz.log)) |
@@ -398,6 +401,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the
 | SqueezeNet v1.1 | 41.37 | 19.20 | 1,235,496 | 354.88M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.57/squeezenet_v1_1-1920-5557ef36.h5.log)) |
 | ShuffleNetV2 x0.5 | 41.43 | 18.85 | 1,366,792 | 42.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.63/shufflenetv2_wd2-1885-aa64e676.h5.log)) |
 | ShuffleNetV2 x1.0 | 33.82 | 13.49 | 2,278,604 | 147.92M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.63/shufflenetv2_w1-1349-f42e0113.h5.log)) |
+| ShuffleNetV2 x1.5 | 32.46 | 12.47 | 4,406,098 | 318.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.65/shufflenetv2_w3d2-1247-f7f813b4.h5.log)) |
 | 108-MENet-8x1 (g=3) | 46.09 | 22.37 | 654,516 | 40.64M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.58/menet108_8x1_g3-2237-beb28c9b.h5.log)) |
 | 128-MENet-8x1 (g=4) | 45.78 | 21.93 | 750,796 | 43.58M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.58/menet128_8x1_g4-2193-0a0193f2.h5.log)) |
 | 228-MENet-12x1 (g=3) | 35.02 | 14.01 | 1,806,568 | 148.93M | From [clavichord93/MENet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.58/menet228_12x1_g3-1401-954b3ba0.h5.log)) |

diff --git a/chainer_/chainercv2/models/model_store.py b/chainer_/chainercv2/models/model_store.py
@@ -57,6 +57,7 @@
     ('squeezenet_v1_1', '1925', '0ca73cf33c7d6e3d1295fcb372b08528ffafbe2a', 'v0.0.20'),
     ('shufflenetv2_wd2', '2117', 'b19589d8fd3e6b0a05cd13b92e522f2dc2a71ca6', 'v0.0.37'),
     ('shufflenetv2_w1', '1519', '2156e7dff4d3ec5e8f6634c3919f4da85a63bea1', 'v0.0.48'),
+    ('shufflenetv2_w3d2', '1337', '66c1d6ed56e77d7bbf172e698e4a0d9f8a3bb442', 'v0.0.65'),
     ('menet108_8x1_g3', '2242', '7c1b69e03fc0400e8bb4c53d38057941db4a1b93', 'v0.0.33'),
     ('menet128_8x1_g4', '2191', '4d64040c03eb2a0a728406abe54997d98f85e76c', 'v0.0.33'),
     ('menet228_12x1_g3', '1401', '07a0ace231aad769b91c5b591e14d766ca41991e', 'v0.0.33'),

diff --git a/gluon/gluoncv2/models/model_store.py b/gluon/gluoncv2/models/model_store.py
@@ -57,6 +57,7 @@
     ('squeezenet_v1_1', '1920', '6d01104eaf6f03ee18589896b2c0d5a6d7c5b164', 'v0.0.15'),
     ('shufflenetv2_wd2', '1890', '9c6173984534cb96c542653d027ce25ef60c9cee', 'v0.0.37'),
     ('shufflenetv2_w1', '1341', '275f1d2ea7e706fb805603306656d03bec9f6a0f', 'v0.0.48'),
+    ('shufflenetv2_w3d2', '1237', '08c013888fc1f782683eccdb201739b05dfd43aa', 'v0.0.65'),
     ('menet108_8x1_g3', '2237', 'd3bb5a4fa19a5e1dad2d036ffe64cc2a376defcc', 'v0.0.6'),
     ('menet128_8x1_g4', '2193', 'fe760f0dffdb5441e25fa38facc1e342adcc38eb', 'v0.0.6'),
     ('menet228_12x1_g3', '1399', '8c28d22f8355345f535ca8f94a472b001095aff5', 'v0.0.6'),

diff --git a/keras_/kerascv/models/model_store.py b/keras_/kerascv/models/model_store.py
@@ -52,6 +52,7 @@
     ('squeezenet_v1_1', '1920', '5557ef36f64d84c6343378f36773b245c14cd6a0', 'v0.0.57'),
     ('shufflenetv2_wd2', '1885', 'aa64e676fbcfd9641d95ce93ff4406924f265b9e', 'v0.0.63'),
     ('shufflenetv2_w1', '1349', 'f42e01131a1b534812443a9935ed9b351be99d37', 'v0.0.63'),
+    ('shufflenetv2_w3d2', '1247', 'f7f813b4b9de6d2b7b36ccec69fe9120f0669edc', 'v0.0.65'),
     ('menet108_8x1_g3', '2237', 'beb28c9bd24cc1c8864f1475df78937978fcf5d2', 'v0.0.58'),
     ('menet128_8x1_g4', '2193', '0a0193f2666aeb91f25deb1525d8bebd57f36b84', 'v0.0.58'),
     ('menet228_12x1_g3', '1401', '954b3ba0cd681c3b63b03f77d4ff1dea03207664', 'v0.0.58'),

diff --git a/pytorch/pytorchcv/models/model_store.py b/pytorch/pytorchcv/models/model_store.py
@@ -57,6 +57,7 @@
     ('squeezenet_v1_1', '1938', '8dcd1cc5d955f3d154bfa5be20cd278f3e77f21b', 'v0.0.5'),
     ('shufflenetv2_wd2', '1938', 'd7b48d8226e74912afcb8b8327d94bc17172bdf9', 'v0.0.37'),
     ('shufflenetv2_w1', '1378', 'dc6a33c9d34e54e7f12eac4f731b20493bc0c57e', 'v0.0.48'),
+    ('shufflenetv2_w3d2', '1269', '536ad5b11bc169022ea6752cc288fb468b2856bf', 'v0.0.65'),
     ('menet108_8x1_g3', '2076', '7f47b37e10912a55ea85fefa616f822fc6b32859', 'v0.0.6'),
     ('menet128_8x1_g4', '2062', 'dd4531fdbabf464ffd3a7145ef7f3628871395ca', 'v0.0.6'),
     ('menet228_12x1_g3', '1328', '27991387c8fa27f98785d1910a76e9a9a19f42c5', 'v0.0.6'),