Upd info about AirNeXt50-32x4d (r=2) models

osmr · Feb 27, 2021 · f338a3f · f338a3f
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Showing 8 changed files with 8 additions and 8 deletions.
diff --git a/chainer_/README.md b/chainer_/README.md
@@ -239,7 +239,7 @@ Some remarks:
 | ResNeSt(A)-269 | 16.40 | 3.36 | 110,929,480 | 46,012.95M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.465/resnesta269-0336-933dbe64.npz.log)) |
 | AirNet50-1x64d (r=2) | 22.46 | 6.20 | 27,425,864 | 4,772.11M | From [soeaver/AirNet-PyTorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.120/airnet50_1x64d_r2-0620-b6a9359d.npz.log)) |
 | AirNet50-1x64d (r=16) | 21.11 | 5.47 | 25,714,952 | 4,399.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.519/airnet50_1x64d_r16-0547-6d3d6db4.npz.log)) |
-| AirNeXt50-32x4d (r=2) | 21.50 | 5.73 | 27,604,296 | 5,339.58M | From [soeaver/AirNet-PyTorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.120/airnext50_32x4d_r2-0573-160860f7.npz.log)) |
+| AirNeXt50-32x4d (r=2) | 19.81 | 5.03 | 27,604,296 | 5,339.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.521/airnext50_32x4d_r2-0503-2bb8e4fc.npz.log)) |
 | BAM-ResNet-50 | 20.58 | 5.35 | 25,915,099 | 4,196.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/bam_resnet50-0535-e2069bb5.npz.log)) |
 | CBAM-ResNet-50 | 20.32 | 5.13 | 28,089,624 | 4,116.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.514/cbam_resnet50-0513-ccc1f844.npz.log)) |
 | SCNet-50 | 21.03 | 5.35 | 25,564,584 | 3,951.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/scnet50-0535-f0ef9a4c.npz.log)) |

diff --git a/chainer_/chainercv2/models/model_store.py b/chainer_/chainercv2/models/model_store.py
@@ -105,7 +105,7 @@
     ('resnesta269', '0336', '933dbe64fb27a174752b77980bad3c545582c5e8', 'v0.0.465'),
     ('airnet50_1x64d_r2', '0620', 'b6a9359d735916ff8f6192c631b7c646f489fc41', 'v0.0.120'),
     ('airnet50_1x64d_r16', '0547', '6d3d6db4c9ae6f449c3fa9d7d2787dad7e03bed1', 'v0.0.519'),
-    ('airnext50_32x4d_r2', '0573', '160860f7a1750d759c36e6000080c839cda7ac56', 'v0.0.120'),
+    ('airnext50_32x4d_r2', '0503', '2bb8e4fc574d18a8b0896c1505de7bf4551d682d', 'v0.0.521'),
     ('bam_resnet50', '0535', 'e2069bb5c18d2dca451688615bc0197a3387e441', 'v0.0.499'),
     ('cbam_resnet50', '0513', 'ccc1f844910b90ee442af01e8fb7005f61c707d9', 'v0.0.514'),
     ('scnet50', '0535', 'f0ef9a4c4d2b3202c5f73fa3f0a129f3a5baba63', 'v0.0.493'),

diff --git a/gluon/README.md b/gluon/README.md
@@ -260,7 +260,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the
 | IBN-DenseNet-169 | 22.14 | 6.08 | 14,149,480 | 3,403.89M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.500/ibn_densenet169-0608-b509f339.params.log)) |
 | AirNet50-1x64d (r=2) | 22.48 | 6.21 | 27,425,864 | 4,772.11M | From [soeaver/AirNet-PyTorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.120/airnet50_1x64d_r2-0621-347358cc.params.log)) |
 | AirNet50-1x64d (r=16) | 21.11 | 5.44 | 25,714,952 | 4,399.97M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.519/airnet50_1x64d_r16-0544-09a9f13b.params.log)) |
-| AirNeXt50-32x4d (r=2) | 21.51 | 5.75 | 27,604,296 | 5,339.58M | From [soeaver/AirNet-PyTorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.120/airnext50_32x4d_r2-0575-ab104fb5.params.log)) |
+| AirNeXt50-32x4d (r=2) | 19.84 | 5.04 | 27,604,296 | 5,339.58M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.521/airnext50_32x4d_r2-0504-664dd077.params.log)) |
 | BAM-ResNet-50 | 20.59 | 5.38 | 25,915,099 | 4,196.09M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/bam_resnet50-0538-fa612c3d.params.log)) |
 | CBAM-ResNet-50 | 20.33 | 5.13 | 28,089,624 | 4,116.97M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.514/cbam_resnet50-0513-29de4161.params.log)) |
 | SCNet-50 | 20.53 | 5.11 | 25,564,584 | 3,951.01M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/scnet50-0511-359d35d0.params.log)) |

diff --git a/gluon/gluoncv2/models/model_store.py b/gluon/gluoncv2/models/model_store.py
@@ -111,7 +111,7 @@
     ('ibn_densenet169', '0608', 'b509f33947b2f205f03e49ce2d5ee87855bbf708', 'v0.0.500'),
     ('airnet50_1x64d_r2', '0621', '347358cc4a3ac727784665e8113cd11bfa79c606', 'v0.0.120'),
     ('airnet50_1x64d_r16', '0544', '09a9f13b9d5f3e27eb26271070cc4bf8dd72cf9f', 'v0.0.519'),
-    ('airnext50_32x4d_r2', '0575', 'ab104fb5225b17836d523a525903db254f5fdd99', 'v0.0.120'),
+    ('airnext50_32x4d_r2', '0504', '664dd077a978562a376e8ab70b5d740893873111', 'v0.0.521'),
     ('bam_resnet50', '0538', 'fa612c3da552cd26094634c359413db69d0ef97b', 'v0.0.499'),
     ('cbam_resnet50', '0513', '29de416140f2e556e68c99b97491cd47ec1ceff1', 'v0.0.514'),
     ('scnet50', '0511', '359d35d017e838d3c3c2bdf1cc83074610dc3c5b', 'v0.0.493'),

diff --git a/pytorch/README.md b/pytorch/README.md
@@ -264,7 +264,7 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil
 | IBN-DenseNet-169 | 22.42 | 6.19 | 14,149,480 | 3,403.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.500/ibn_densenet169-0619-ec2c0556.pth.log)) |
 | AirNet50-1x64d (r=2) | 21.84 | 5.90 | 27,425,864 | 4,772.11M | From [soeaver/AirNet-PyTorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.120/airnet50_1x64d_r2-0590-3ec42212.pth.log)) |
 | AirNet50-1x64d (r=16) | 21.24 | 5.60 | 25,714,952 | 4,399.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.519/airnet50_1x64d_r16-0560-d46d344b.pth.log)) |
-| AirNeXt50-32x4d (r=2) | 20.87 | 5.51 | 27,604,296 | 5,339.58M | From [soeaver/AirNet-PyTorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.120/airnext50_32x4d_r2-0551-c68156e5.pth.log)) |
+| AirNeXt50-32x4d (r=2) | 20.14 | 5.15 | 27,604,296 | 5,339.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.521/airnext50_32x4d_r2-0515-85f13273.pth.log)) |
 | BAM-ResNet-50 | 20.91 | 5.47 | 25,915,099 | 4,196.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/bam_resnet50-0547-a04adf3c.pth.log)) |
 | CBAM-ResNet-50 | 20.59 | 5.24 | 28,089,624 | 4,116.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.514/cbam_resnet50-0524-f824c591.pth.log)) |
 | SCNet-50 | 21.22 | 5.47 | 25,564,584 | 3,951.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/scnet50-0547-18741240.pth.log)) |

diff --git a/pytorch/pytorchcv/models/model_store.py b/pytorch/pytorchcv/models/model_store.py
@@ -112,7 +112,7 @@
     ('ibn_densenet169', '0619', 'ec2c0556f4fb2e2e51d49460095bf28259cb5d19', 'v0.0.500', 'IBN-DenseNet-169', '1807.09441', 'in1k', 224, 0.875, 200, ''),  # noqa
     ('airnet50_1x64d_r2', '0590', '3ec422128d17314124c02e3bb0f77e26777fb385', 'v0.0.120', 'AirNet50-1x64d (r=2)', '', 'in1k', 224, 0.875, 200, '[soeaver/AirNet-PyTorch]'),  # noqa
     ('airnet50_1x64d_r16', '0560', 'd46d344b7e4216d43dc83659afd265d11cf3e05e', 'v0.0.519', 'AirNet50-1x64d (r=16)', '', 'in1k', 224, 0.875, 200, ''),  # noqa
-    ('airnext50_32x4d_r2', '0551', 'c68156e5e446a1116b1b42bc94b3f881ab73fe92', 'v0.0.120', 'AirNeXt50-32x4d (r=2)', '', 'in1k', 224, 0.875, 200, '[soeaver/AirNet-PyTorch]'),  # noqa
+    ('airnext50_32x4d_r2', '0515', '85f13273529e6c4192a790fc55dafa7f022376f4', 'v0.0.521', 'AirNeXt50-32x4d (r=2)', '', 'in1k', 224, 0.875, 200, ''),  # noqa
     ('bam_resnet50', '0547', 'a04adf3c93f56836509f66668aa90360c9688eb8', 'v0.0.499', 'BAM-ResNet-50', '1807.06514', 'in1k', 224, 0.875, 200, ''),  # noqa
     ('cbam_resnet50', '0524', 'f824c591846ecdef0d499a3a9cbdb101c6c688a1', 'v0.0.514', 'CBAM-ResNet-50', '1807.06521', 'in1k', 224, 0.875, 200, ''),  # noqa
     ('scnet50', '0547', '18741240886d8e260c228027f3ac44fc1c741f90', 'v0.0.493', 'SCNet-50', '', 'in1k', 224, 0.875, 200, ''),  # noqa

diff --git a/tensorflow2/README.md b/tensorflow2/README.md
@@ -222,7 +222,7 @@ Some remarks:
 | IBN-DenseNet-169 | 22.13 | 6.07 | 14,149,480 | 3,403.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.500/ibn_densenet169-0607-74a97a40.tf2.h5.log)) |
 | AirNet50-1x64d (r=2) | 22.54 | 6.23 | 27,425,864 | 4,772.11M | From [soeaver/AirNet-PyTorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.423/airnet50_1x64d_r2-0623-6940f0e5.tf2.h5.log)) |
 | AirNet50-1x64d (r=16) | 21.12 | 5.50 | 25,714,952 | 4,399.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.519/airnet50_1x64d_r16-0550-9500236c.tf2.h5.log)) |
-| AirNeXt50-32x4d (r=2) | 21.47 | 5.72 | 27,604,296 | 5,339.58M | From [soeaver/AirNet-PyTorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.423/airnext50_32x4d_r2-0572-fa8e40ab.tf2.h5.log)) |
+| AirNeXt50-32x4d (r=2) | 19.90 | 5.14 | 27,604,296 | 5,339.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.521/airnext50_32x4d_r2-0514-51089a6b.tf2.h5.log)) |
 | BAM-ResNet-50 | 20.60 | 5.37 | 25,915,099 | 4,196.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.499/bam_resnet50-0537-a9720e15.tf2.h5.log)) |
 | CBAM-ResNet-50 | 20.38 | 5.14 | 28,089,624 | 4,116.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.514/cbam_resnet50-0514-55f01862.tf2.h5.log)) |
 | SCNet-50 | 21.18 | 5.39 | 25,564,584 | 3,951.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.493/scnet50-0539-de94eb1b.tf2.h5.log)) |

diff --git a/tensorflow2/tf2cv/models/model_store.py b/tensorflow2/tf2cv/models/model_store.py
@@ -112,7 +112,7 @@
     ('ibn_densenet169', '0607', '74a97a40e8f2249d98d2c8559a49ec2a02336973', 'v0.0.500', 'in1k', 0.875),
     ('airnet50_1x64d_r2', '0623', '6940f0e553a65c1beb4b769e31685cdde59359b8', 'v0.0.423', 'in1k', 0.875),
     ('airnet50_1x64d_r16', '0550', '9500236cd5cce3d991b6d435a1950d23dab7a285', 'v0.0.519', 'in1k', 0.875),
-    ('airnext50_32x4d_r2', '0572', 'fa8e40ab400cd8507a02606db72d270382482ecf', 'v0.0.423', 'in1k', 0.875),
+    ('airnext50_32x4d_r2', '0514', '51089a6b08a25a0c9224a67320980245a6be30b6', 'v0.0.521', 'in1k', 0.875),
     ('bam_resnet50', '0537', 'a9720e151405bd9d1bf361fbcb817e431314904f', 'v0.0.499', 'in1k', 0.875),
     ('cbam_resnet50', '0514', '55f018626368c63e99976e87051779b52e16ecbb', 'v0.0.514', 'in1k', 0.875),
     ('scnet50', '0539', 'de94eb1b833b7620b1c9becd3f464d94f1901cf1', 'v0.0.493', 'in1k', 0.875),