Update info about SENet-28 model for IN1K, 2

Swapnil2095 · Jun 24, 2019 · 7f48aca · 7f48aca
1 parent 4d2c11d
commit 7f48aca
Show file tree

Hide file tree

Showing 10 changed files with 10 additions and 10 deletions.
diff --git a/chainer_/README.md b/chainer_/README.md
@@ -175,7 +175,7 @@ Some remarks:
 | SE-ResNeXt-50 (32x4d) | 21.04 | 5.58 | 27,559,896 | 4,258.40M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.27/seresnext50_32x4d-0558-5c435c1b.npz.log)) |
 | SE-ResNeXt-101 (32x4d) | 19.99 | 5.01 | 48,955,416 | 8,008.26M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.27/seresnext101_32x4d-0501-98ea6fc4.npz.log)) |
 | SENet-16 | 25.39 | 8.07 | 31,366,168 | 5,081.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.341/senet16-0807-f45aa3ff.npz.log)) |
-| SENet-28 | 22.80 | 6.61 | 36,453,768 | 5,732.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.352/senet28-0661-052de18f.npz.log)) |
+| SENet-28 | 21.65 | 5.91 | 36,453,768 | 5,732.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.356/senet28-0591-7e7bf250.npz.log)) |
 | SENet-154 | 18.79 | 4.63 | 115,088,984 | 20,745.78M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.28/senet154-0463-381d2494.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) | 22.89 | 6.50 | 25,714,952 | 4,399.97M | From [soeaver/AirNet-PyTorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.120/airnet50_1x64d_r16-0650-95da530f.npz.log)) |

diff --git a/chainer_/chainercv2/models/model_store.py b/chainer_/chainercv2/models/model_store.py
@@ -74,7 +74,7 @@
     ('seresnext50_32x4d', '0558', '5c435c1b730a0cea61b9657c8796f3c6b95ce9e8', 'v0.0.27'),
     ('seresnext101_32x4d', '0501', '98ea6fc4d36e742a01a0256707a5fa118be166dd', 'v0.0.27'),
     ('senet16', '0807', 'f45aa3fffb8ea5148c53d031e50a3f93ab00ede0', 'v0.0.341'),
-    ('senet28', '0661', '052de18f962629055bfdee97e46dd0d1f0bb5947', 'v0.0.352'),
+    ('senet28', '0591', '7e7bf250ab1bb4842f6dd32ceb93967a7c02239b', 'v0.0.356'),
     ('senet154', '0463', '381d2494a2ad725f62325188f94cd91c795c9902', 'v0.0.28'),
     ('airnet50_1x64d_r2', '0620', 'b6a9359d735916ff8f6192c631b7c646f489fc41', 'v0.0.120'),
     ('airnet50_1x64d_r16', '0650', '95da530f61ae4b0dda4b52c88f37bbc7cc674a03', 'v0.0.120'),

diff --git a/gluon/README.md b/gluon/README.md
@@ -189,7 +189,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the
 | SE-ResNeXt-50 (32x4d) | 21.06 | 5.58 | 27,559,896 | 4,258.40M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.12/seresnext50_32x4d-0558-a49f8fb0.params.log)) |
 | SE-ResNeXt-101 (32x4d) | 19.99 | 5.00 | 48,955,416 | 8,008.26M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.12/seresnext101_32x4d-0500-cf161260.params.log)) |
 | SENet-16 | 25.34 | 8.06 | 31,366,168 | 5,080.55M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.341/senet16-0806-ba268021.params.log)) |
-| SENet-28 | 22.81 | 6.59 | 36,453,768 | 5,731.20M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.352/senet28-0659-3695e81b.params.log)) |
+| SENet-28 | 21.68 | 5.91 | 36,453,768 | 5,731.20M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.356/senet28-0591-d5297a35.params.log)) |
 | SENet-154 | 18.84 | 4.65 | 115,088,984 | 20,745.78M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.13/senet154-0465-dd244507.params.log)) |
 | IBN-ResNet-50 | 23.56 | 6.68 | 25,557,032 | 4,110.48M | From [XingangPan/IBN-Net] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.127/ibn_resnet50-0668-db527596.params.log)) |
 | IBN-ResNet-101 | 21.89 | 5.87 | 44,549,160 | 7,830.48M | From [XingangPan/IBN-Net] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.127/ibn_resnet101-0587-946e7f10.params.log)) |

diff --git a/gluon/gluoncv2/models/model_store.py b/gluon/gluoncv2/models/model_store.py
@@ -74,7 +74,7 @@
     ('seresnext50_32x4d', '0558', 'a49f8fb039973979afe2fc70974a8b07c7159bca', 'v0.0.12'),
     ('seresnext101_32x4d', '0500', 'cf1612601f319a0e75190ae756ae380b947dcb1a', 'v0.0.12'),
     ('senet16', '0806', 'ba26802160725af926e5a3217f8848bd3a6599fd', 'v0.0.341'),
-    ('senet28', '0659', '3695e81b3274bb91f78d8688382d3ef359b35181', 'v0.0.352'),
+    ('senet28', '0591', 'd5297a35a2e56ecc892499c1bd4373125a40b783', 'v0.0.356'),
     ('senet154', '0465', 'dd2445078c0770c4a52cd22aa1d4077eb26f6132', 'v0.0.13'),
     ('ibn_resnet50', '0668', 'db527596f81f5b4aa1f0c490bf0ef5cfeef5fb76', 'v0.0.127'),
     ('ibn_resnet101', '0587', '946e7f1072a70b19f2bbc9776f73b818473482c3', 'v0.0.127'),

diff --git a/keras_/README.md b/keras_/README.md
@@ -131,7 +131,7 @@ Some remarks:
 | SE-ResNeXt-50 (32x4d) | 21.05 | 5.57 | 27,559,896 | 4,258.40M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.53/seresnext50_32x4d-0557-997ef4dd.h5.log)) |
 | SE-ResNeXt-101 (32x4d) | 19.98 | 4.99 | 48,955,416 | 8,008.26M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.53/seresnext101_32x4d-0499-59e4e584.h5.log)) |
 | SENet-16 | 25.34 | 8.06 | 31,366,168 | 5,081.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.341/senet16-0806-8a634c50.h5.log)) |
-| SENet-28 | 22.81 | 6.59 | 36,453,768 | 5,732.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.352/senet28-0659-014ca372.h5.log)) |
+| SENet-28 | 21.68 | 5.91 | 36,453,768 | 5,732.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.356/senet28-0591-33c65063.h5.log)) |
 | SENet-154 | 18.83 | 4.65 | 115,088,984 | 20,745.78M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.54/senet154-0465-962aeede.h5.log)) |
 | DenseNet-121 | 23.23 | 6.84 | 7,978,856 | 2,872.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.314/densenet121-0684-7c6d506a.h5.log)) |
 | DenseNet-161 | 22.39 | 6.18 | 28,681,000 | 7,793.16M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.55/densenet161-0618-070fcb45.h5.log)) |

diff --git a/keras_/kerascv/models/model_store.py b/keras_/kerascv/models/model_store.py
@@ -78,7 +78,7 @@
     ('seresnext50_32x4d', '0557', '997ef4dd811c2f126f685d91af61a0dad96a7d26', 'v0.0.53'),
     ('seresnext101_32x4d', '0499', '59e4e5846d8e78601c255102f302c89b2d9402e7', 'v0.0.53'),
     ('senet16', '0806', '8a634c501ee89777cfd0af9ec8b953e7ebc1a5de', 'v0.0.341'),
-    ('senet28', '0659', '014ca372a4f55cc54fdf291e64e8bb05b4eb3483', 'v0.0.352'),
+    ('senet28', '0591', '33c65063c8889f065cd92cee5abe4fee3a129eec', 'v0.0.356'),
     ('senet154', '0465', '962aeede627d5196eaf0cf8c25b6f7281f62e9ea', 'v0.0.54'),
     ('densenet121', '0684', '7c6d506aa37ffdbab6fbe8ee45f8ef8d9b505fa2', 'v0.0.314'),
     ('densenet161', '0618', '070fcb455db45c45aeb67fa4fb0fda4a89b7ef45', 'v0.0.55'),

diff --git a/pytorch/README.md b/pytorch/README.md
@@ -184,7 +184,7 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil
 | SE-ResNeXt-50 (32x4d) | 21.00 | 5.54 | 27,559,896 | 4,258.40M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.12/seresnext50_32x4d-0554-99e0e9aa.pth.log)) |
 | SE-ResNeXt-101 (32x4d) | 19.96 | 5.05 | 48,955,416 | 8,008.26M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.12/seresnext101_32x4d-0505-0924f0a2.pth.log)) |
 | SENet-16 | 25.65 | 8.20 | 31,366,168 | 5,081.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.341/senet16-0820-373aeafd.pth.log)) |
-| SENet-28 | 22.96 | 6.69 | 36,453,768 | 5,732.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.352/senet28-0669-7a759554.pth.log)) |
+| SENet-28 | 21.94 | 5.98 | 36,453,768 | 5,732.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.356/senet28-0598-27165b63.pth.log)) |
 | SENet-154 | 18.62 | 4.61 | 115,088,984 | 20,745.78M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.13/senet154-0461-6512228c.pth.log)) |
 | IBN-ResNet-50 | 22.76 | 6.41 | 25,557,032 | 4,110.48M | From [XingangPan/IBN-Net] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.127/ibn_resnet50-0641-e48a1fe5.pth.log)) |
 | IBN-ResNet-101 | 21.29 | 5.61 | 44,549,160 | 7,830.48M | From [XingangPan/IBN-Net] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.127/ibn_resnet101-0561-5279c78a.pth.log)) |

diff --git a/pytorch/pytorchcv/models/model_store.py b/pytorch/pytorchcv/models/model_store.py
@@ -74,7 +74,7 @@
     ('seresnext50_32x4d', '0554', '99e0e9aa4578af9f15045c1ceeb684a2e988628a', 'v0.0.12'),
     ('seresnext101_32x4d', '0505', '0924f0a2c1de90dc964c482b7aff6232dbef3600', 'v0.0.12'),
     ('senet16', '0820', '373aeafdc994c3e03bf483a9fa3ecb152353722a', 'v0.0.341'),
-    ('senet28', '0669', '7a759554ee4125658f83ba64dc7fbab3c75945d3', 'v0.0.352'),
+    ('senet28', '0598', '27165b63696061e57c141314d44732aa65f807a8', 'v0.0.356'),
     ('senet154', '0461', '6512228c820897cd09f877527a553ca99d673956', 'v0.0.13'),
     ('ibn_resnet50', '0641', 'e48a1fe5f7e448d4b784ef4dc0f33832f3370a9b', 'v0.0.127'),
     ('ibn_resnet101', '0561', '5279c78a0dbfc722cfcfb788af479b6133920528', 'v0.0.127'),

diff --git a/tensorflow_/README.md b/tensorflow_/README.md
@@ -130,7 +130,7 @@ Some remarks:
 | SE-ResNeXt-50 (32x4d) | 21.01 | 5.53 | 27,559,896 | 4,258.40M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.76/seresnext50_32x4d-0553-20723214.tf.npz.log)) |
 | SE-ResNeXt-101 (32x4d) | 19.99 | 4.97 | 48,955,416 | 8,008.26M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.76/seresnext101_32x4d-0497-268d7d22.tf.npz.log)) |
 | SENet-16 | 25.34 | 8.03 | 31,366,168 | 5,081.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.341/senet16-0803-366c58ce.tf.npz.log)) |
-| SENet-28 | 22.86 | 6.59 | 36,453,768 | 5,732.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.352/senet28-0659-42814de1.tf.npz.log)) |
+| SENet-28 | 21.68 | 5.94 | 36,453,768 | 5,732.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.356/senet28-0594-98ba8cc2.tf.npz.log)) |
 | SENet-154 | 18.77 | 4.63 | 115,088,984 | 20,745.78M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.86/senet154-0463-c86eaaed.tf.npz.log)) |
 | DenseNet-121 | 23.21 | 6.88 | 7,978,856 | 2,872.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.314/densenet121-0688-e3bccdc5.tf.npz.log)) |
 | DenseNet-161 | 22.40 | 6.17 | 28,681,000 | 7,793.16M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.77/densenet161-0617-9deca33a.tf.npz.log)) |

diff --git a/tensorflow_/tensorflowcv/models/model_store.py b/tensorflow_/tensorflowcv/models/model_store.py
@@ -73,7 +73,7 @@
     ('seresnext50_32x4d', '0553', '207232148cb61e6f2af55aa2e3945be52a4329d1', 'v0.0.76'),
     ('seresnext101_32x4d', '0497', '268d7d224024cd3d33ba7b259b6975bd1d064619', 'v0.0.76'),
     ('senet16', '0803', '366c58ce2f47ded548734cf336d46b50517c78c4', 'v0.0.341'),
-    ('senet28', '0659', '42814de17a1d34399c4a0a6cef2fabfe28d84afc', 'v0.0.352'),
+    ('senet28', '0594', '98ba8cc2068495fe192af40328f1838b1e835b6f', 'v0.0.356'),
     ('senet154', '0463', 'c86eaaed79c696a32ace4a8576fc0b50f0f93900', 'v0.0.86'),
     ('densenet121', '0688', 'e3bccdc5544f46352bb91671ac4cd7e2f788952b', 'v0.0.314'),
     ('densenet161', '0617', '9deca33a34a5c4a0a84f0a37920dbfd1cad85cb7', 'v0.0.77'),