Update info about BagNet models

README.md

@@ -86,6 +86,7 @@ Some remarks:
 | ChannelNet | A | A | A | - | A | [link](https://arxiv.org/abs/1809.01330) | [link](https://github.com/HongyangGao/ChannelNets) | 2018 |
 | iSQRT-COV-ResNet | A | A | - | - | - | [link](https://arxiv.org/abs/1712.01034) | [link](https://github.com/jiangtaoxie/fast-MPN-COV) | 2017 |
 | i-RevNet | A+ | A+ | A+ | - | - | [link](https://arxiv.org/abs/1802.07088) | [link](https://github.com/jhjacobsen/pytorch-i-revnet) | 2018 |
+| BagNet | A+ | A+ | A+ | - | - | [link](https://openreview.net/pdf?id=SkfMWhAqYQ) | [link](https://github.com/wielandbrendel/bag-of-local-features-models) | 2019 |
 | DLA | A+ | A+ | A+ | - | - | [link](https://arxiv.org/abs/1707.06484) | [link](https://github.com/ucbdrive/dla) | 2017 |
 | MSDNet | A | AB | - | - | - | [link](https://arxiv.org/abs/1703.09844) | [link](https://github.com/gaohuang/MSDNet) | 2017 |
 | FishNet | A+ | A+ | A+ | - | - | [link](http://papers.nips.cc/paper/7356-fishnet-a-versatile-backbone-for-image-region-and-pixel-level-prediction.pdf) | [link](https://github.com/kevin-ssy/FishNet) | 2018 |

chainer_/README.md

@@ -35,6 +35,7 @@ Scripts for training/evaluating/converting models are in the [`imgclsmob`](https
 - DarkNet-53 (['YOLOv3: An Incremental Improvement'](https://arxiv.org/abs/1804.02767))
 - ChannelNet (['ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions'](https://arxiv.org/abs/1809.01330))
 - i-RevNet (['i-RevNet: Deep Invertible Networks'](https://arxiv.org/abs/1802.07088))
+- BagNet (['Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet'](https://openreview.net/pdf?id=SkfMWhAqYQ))
 - DLA (['Deep Layer Aggregation'](https://arxiv.org/abs/1707.06484))
 - FishNet (['FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction'](http://papers.nips.cc/paper/7356-fishnet-a-versatile-backbone-for-image-region-and-pixel-level-prediction.pdf))
 - ESPNetv2 (['ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network'](https://arxiv.org/abs/1811.11431))
@@ -168,6 +169,9 @@ Some remarks:
 | DarkNet Ref | 38.09 | 16.71 | 7,319,416 | 367.59M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.64/darknet_ref-1671-b2d5721f.npz.log)) |
 | DarkNet-53 | 21.41 | 5.56 | 41,609,928 | 7,133.86M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.150/darknet53-0556-42c57951.npz.log)) |
 | i-RevNet-301 | 26.96 | 8.87 | 125,120,356 | 14,453.87M | From [jhjacobsen/pytorch-i-revnet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.251/irevnet301-0887-ed6e6df0.npz.log)) |
+| BagNet-9 | 59.57 | 35.45 | 15,688,744 | 16,049.19M | From [wielandbrendel/bag-of-local-features-models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.255/bagnet9-3545-8ac8c0f7.npz.log)) |
+| BagNet-17 | 44.78 | 21.51 | 16,213,032 | 15,768.77M | From [wielandbrendel/bag-of-local-features-models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.255/bagnet17-2151-57188969.npz.log)) |
+| BagNet-33 | 36.41 | 14.92 | 18,310,184 | 16,371.52M | From [wielandbrendel/bag-of-local-features-models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.255/bagnet33-1492-a7be162c.npz.log)) |
 | DLA-34 | 26.14 | 8.23 | 15,742,104 | 3,071.37M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla34-0823-45504b09.npz.log)) |
 | DLA-46-C | 36.78 | 14.71 | 1,301,400 | 585.45M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla46c-1471-487ae254.npz.log)) |
 | DLA-X-46-C | 35.59 | 13.96 | 1,068,440 | 546.72M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla46xc-1396-a40cc675.npz.log)) |
@@ -337,4 +341,5 @@ Some remarks:
 [kevin-ssy/FishNet]: https://github.com/kevin-ssy/FishNet
 [ucbdrive/dla]: https://github.com/ucbdrive/dla
 [sacmehta/ESPNetv2]: https://github.com/sacmehta/ESPNetv2
-[jhjacobsen/pytorch-i-revnet]: https://github.com/jhjacobsen/pytorch-i-revnet
+[jhjacobsen/pytorch-i-revnet]: https://github.com/jhjacobsen/pytorch-i-revnet
+[wielandbrendel/bag-of-local-features-models]: https://github.com/wielandbrendel/bag-of-local-features-models

chainer_/chainercv2/model_provider.py

@@ -28,6 +28,7 @@
 from .models.darknet53 import *
 from .models.channelnet import *
 from .models.irevnet import *
+from .models.bagnet import *
 from .models.dla import *
 from .models.fishnet import *
 from .models.espnetv2 import *
@@ -65,8 +66,6 @@
 from .models.shakeshakeresnet_cifar import *
 from .models.shakedropresnet_cifar import *
 
-from .models.bagnet import *
-
 __all__ = ['get_model']
 
 
@@ -246,6 +245,10 @@
 
     'irevnet301': irevnet301,
 
+    'bagnet9': bagnet9,
+    'bagnet17': bagnet17,
+    'bagnet33': bagnet33,
+
     'dla34': dla34,
     'dla46c': dla46c,
     'dla46xc': dla46xc,
@@ -450,10 +453,6 @@
 
     'shakedropresnet20_cifar10': shakedropresnet20_cifar10,
     'shakedropresnet20_cifar100': shakedropresnet20_cifar100,
-
-    'bagnet9': bagnet9,
-    'bagnet17': bagnet17,
-    'bagnet33': bagnet33,
 }
 
 

chainer_/chainercv2/models/model_store.py

@@ -84,6 +84,9 @@
     ('darknet_ref', '1671', 'b2d5721f3a5f6f05cc785d57ff7a63fe82f6325e', 'v0.0.64'),
     ('darknet53', '0556', '42c57951fc2668c1a81ede52e6f4de4aac7e0278', 'v0.0.150'),
     ('irevnet301', '0887', 'ed6e6df033e659893b9021a6381f101feff002b8', 'v0.0.251'),
+    ('bagnet9', '3545', '8ac8c0f7ed5d64aa54d628f434f1e60b0e22bff0', 'v0.0.255'),
+    ('bagnet17', '2151', '571889691e8dfedac68e9b6226a9d4a2b237594c', 'v0.0.255'),
+    ('bagnet33', '1492', 'a7be162cc1572d5d32f30643ddcd2ead5834cb17', 'v0.0.255'),
     ('dla34', '0823', '45504b0927fab7165e863c6801f9c0f10a906731', 'v0.0.202'),
     ('dla46c', '1471', '487ae254f1898e9e577aebb81c4466b3b7f0b238', 'v0.0.202'),
     ('dla46xc', '1396', 'a40cc67575756590ebace9c7ed9132a64afc646e', 'v0.0.202'),

gluon/README.md

@@ -38,6 +38,7 @@ Scripts for training/evaluating/converting models are in the [`imgclsmob`](https
 - ChannelNet (['ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions'](https://arxiv.org/abs/1809.01330))
 - iSQRT-COV-ResNet (['Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization'](https://arxiv.org/abs/1712.01034))
 - i-RevNet (['i-RevNet: Deep Invertible Networks'](https://arxiv.org/abs/1802.07088))
+- BagNet (['Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet'](https://openreview.net/pdf?id=SkfMWhAqYQ))
 - DLA (['Deep Layer Aggregation'](https://arxiv.org/abs/1707.06484))
 - MSDNet (['Multi-Scale Dense Networks for Resource Efficient Image Classification'](https://arxiv.org/abs/1703.09844))
 - FishNet (['FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction'](http://papers.nips.cc/paper/7356-fishnet-a-versatile-backbone-for-image-region-and-pixel-level-prediction.pdf))
@@ -188,6 +189,9 @@ bottleneck block. Respectively a network without b-suffix has the stride in the
 | DarkNet Ref | 38.00 | 16.68 | 7,319,416 | 367.59M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.64/darknet_ref-1668-3011b4e1.params.log)) |
 | DarkNet-53 | 21.44 | 5.56 | 41,609,928 | 7,133.86M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.150/darknet53-0556-e9486353.params.log)) |
 | i-RevNet-301 | 26.97 | 8.97 | 125,120,356 | 14,453.87M | From [jhjacobsen/pytorch-i-revnet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.251/irevnet301-0897-cef9b5bf.params.log)) |
+| BagNet-9 | 59.57 | 35.44 | 15,688,744 | 16,049.19M | From [wielandbrendel/bag-of-local-features-models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.255/bagnet9-3544-ea1ae645.params.log)) |
+| BagNet-17 | 44.76 | 21.52 | 16,213,032 | 15,768.77M | From [wielandbrendel/bag-of-local-features-models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.255/bagnet17-2152-4b3a6212.params.log)) |
+| BagNet-33 | 36.43 | 14.95 | 18,310,184 | 16,371.52M | From [wielandbrendel/bag-of-local-features-models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.255/bagnet33-1495-87527d82.params.log)) |
 | DLA-34 | 26.14 | 8.21 | 15,742,104 | 3,071.37M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla34-0821-1127fa0a.params.log)) |
 | DLA-46-C | 36.79 | 14.70 | 1,301,400 | 585.45M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla46c-1470-bae8b513.params.log)) |
 | DLA-X-46-C | 35.58 | 13.98 | 1,068,440 | 546.72M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla46xc-1398-28deb1fc.params.log)) |
@@ -366,4 +370,5 @@ Some remarks:
 [kevin-ssy/FishNet]: https://github.com/kevin-ssy/FishNet
 [ucbdrive/dla]: https://github.com/ucbdrive/dla
 [sacmehta/ESPNetv2]: https://github.com/sacmehta/ESPNetv2
-[jhjacobsen/pytorch-i-revnet]: https://github.com/jhjacobsen/pytorch-i-revnet
+[jhjacobsen/pytorch-i-revnet]: https://github.com/jhjacobsen/pytorch-i-revnet
+[wielandbrendel/bag-of-local-features-models]: https://github.com/wielandbrendel/bag-of-local-features-models

gluon/gluoncv2/model_provider.py

@@ -35,6 +35,7 @@
 from .models.channelnet import *
 from .models.isqrtcovresnet import *
 from .models.irevnet import *
+from .models.bagnet import *
 from .models.dla import *
 from .models.msdnet import *
 from .models.fishnet import *
@@ -74,8 +75,6 @@
 from .models.shakedropresnet_cifar import *
 from .models.fractalnet_cifar import *
 
-from .models.bagnet import *
-
 __all__ = ['get_model']
 
 
@@ -278,6 +277,10 @@
 
     'irevnet301': irevnet301,
 
+    'bagnet9': bagnet9,
+    'bagnet17': bagnet17,
+    'bagnet33': bagnet33,
+
     'dla34': dla34,
     'dla46c': dla46c,
     'dla46xc': dla46xc,
@@ -494,10 +497,6 @@
     'isqrtcovresnet50b': isqrtcovresnet50b,
     'isqrtcovresnet101': isqrtcovresnet101,
     'isqrtcovresnet101b': isqrtcovresnet101b,
-
-    'bagnet9': bagnet9,
-    'bagnet17': bagnet17,
-    'bagnet33': bagnet33,
 }
 
 

gluon/gluoncv2/models/model_store.py

@@ -91,6 +91,9 @@
     ('darknet_ref', '1668', '3011b4e14b629f80da54ab57bef305d588f748ab', 'v0.0.64'),
     ('darknet53', '0556', 'e9486353868e0cf78bdc8fa377437de4d02733bb', 'v0.0.150'),
     ('irevnet301', '0897', 'cef9b5bfe9dd51c7d7946de432fd358f54239d35', 'v0.0.251'),
+    ('bagnet9', '3544', 'ea1ae64532fc58e4efe585b3154aa4b42a677d77', 'v0.0.255'),
+    ('bagnet17', '2152', '4b3a621287346dc836fe42de0b0888fb9a1c9075', 'v0.0.255'),
+    ('bagnet33', '1495', '87527d8247b62bccfdd76a9d5e6e914ebfa5362a', 'v0.0.255'),
     ('dla34', '0821', '1127fa0a270ed5fe1112d9039cf44ee06ac18817', 'v0.0.202'),
     ('dla46c', '1470', 'bae8b513dd17f6645379e3815ec4ed06467b1b1e', 'v0.0.202'),
     ('dla46xc', '1398', '28deb1fcb3db9cbd68d7001851ebfb8f9cbeb673', 'v0.0.202'),

pytorch/README.md

@@ -37,6 +37,7 @@ Scripts for training/evaluating/converting models are in the [`imgclsmob`](https
 - ChannelNet (['ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions'](https://arxiv.org/abs/1809.01330))
 - iSQRT-COV-ResNet (['Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization'](https://arxiv.org/abs/1712.01034))
 - i-RevNet (['i-RevNet: Deep Invertible Networks'](https://arxiv.org/abs/1802.07088))
+- BagNet (['Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet'](https://openreview.net/pdf?id=SkfMWhAqYQ))
 - DLA (['Deep Layer Aggregation'](https://arxiv.org/abs/1707.06484))
 - MSDNet (['Multi-Scale Dense Networks for Resource Efficient Image Classification'](https://arxiv.org/abs/1703.09844))
 - FishNet (['FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction'](http://papers.nips.cc/paper/7356-fishnet-a-versatile-backbone-for-image-region-and-pixel-level-prediction.pdf))
@@ -182,6 +183,9 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil
 | DarkNet Ref | 38.58 | 17.18 | 7,319,416 | 367.59M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.64/darknet_ref-1718-034595b4.pth.log)) |
 | DarkNet-53 | 21.75 | 5.64 | 41,609,928 | 7,133.86M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.150/darknet53-0564-b36bef6b.pth.log)) |
 | i-RevNet-301 | 25.98 | 8.41 | 125,120,356 | 14,453.87M | From [jhjacobsen/pytorch-i-revnet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.251/irevnet301-0841-95dc8d94.pth.log)) |
+| BagNet-9 | 53.61 | 29.61 | 15,688,744 | 16,049.19M | From [wielandbrendel/bag-of-local-features-models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.255/bagnet9-2961-cab11792.pth.log)) |
+| BagNet-17 | 41.20 | 18.84 | 16,213,032 | 15,768.77M | From [wielandbrendel/bag-of-local-features-models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.255/bagnet17-1884-6b2a100f.pth.log)) |
+| BagNet-33 | 33.34 | 13.01 | 18,310,184 | 16,371.52M | From [wielandbrendel/bag-of-local-features-models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.255/bagnet33-1301-4f17b6e8.pth.log)) |
 | DLA-34 | 25.36 | 7.94 | 15,742,104 | 3,071.37M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla34-0794-04698d78.pth.log)) |
 | DLA-46-C | 35.12 | 13.71 | 1,301,400 | 585.45M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla46c-1371-cc919179.pth.log)) |
 | DLA-X-46-C | 34.02 | 13.02 | 1,068,440 | 546.72M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla46xc-1302-1161f37b.pth.log)) |
@@ -353,4 +357,5 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil
 [kevin-ssy/FishNet]: https://github.com/kevin-ssy/FishNet
 [ucbdrive/dla]: https://github.com/ucbdrive/dla
 [sacmehta/ESPNetv2]: https://github.com/sacmehta/ESPNetv2
-[jhjacobsen/pytorch-i-revnet]: https://github.com/jhjacobsen/pytorch-i-revnet
+[jhjacobsen/pytorch-i-revnet]: https://github.com/jhjacobsen/pytorch-i-revnet
+[wielandbrendel/bag-of-local-features-models]: https://github.com/wielandbrendel/bag-of-local-features-models

pytorch/pytorchcv/model_provider.py

@@ -33,6 +33,7 @@
 from .models.channelnet import *
 from .models.isqrtcovresnet import *
 from .models.irevnet import *
+from .models.bagnet import *
 from .models.dla import *
 from .models.msdnet import *
 from .models.fishnet import *
@@ -73,9 +74,6 @@
 from .models.shakedropresnet_cifar import *
 from .models.fractalnet_cifar import *
 
-from .models.others.oth_bagnet import *
-from .models.bagnet import *
-
 __all__ = ['get_model']
 
 
@@ -272,6 +270,10 @@
 
     'irevnet301': irevnet301,
 
+    'bagnet9': bagnet9,
+    'bagnet17': bagnet17,
+    'bagnet33': bagnet33,
+
     'dla34': dla34,
     'dla46c': dla46c,
     'dla46xc': dla46xc,
@@ -490,14 +492,6 @@
     'isqrtcovresnet50b': isqrtcovresnet50b,
     'isqrtcovresnet101': isqrtcovresnet101,
     'isqrtcovresnet101b': isqrtcovresnet101b,
-
-    'oth_bagnet9': oth_bagnet9,
-    'oth_bagnet17': oth_bagnet17,
-    'oth_bagnet33': oth_bagnet33,
-
-    'bagnet9': bagnet9,
-    'bagnet17': bagnet17,
-    'bagnet33': bagnet33,
 }
 
 

pytorch/pytorchcv/models/model_store.py

@@ -90,6 +90,9 @@
     ('darknet_ref', '1718', '034595b49113ee23de72e36f7d8a3dbb594615f6', 'v0.0.64'),
     ('darknet53', '0564', 'b36bef6b297055dda3d17a3f79596511730e1963', 'v0.0.150'),
     ('irevnet301', '0841', '95dc8d94257bf16027edd7077b785a8676369fca', 'v0.0.251'),
+    ('bagnet9', '2961', 'cab1179284e9749697f38c1c7e5f0e172be12c89', 'v0.0.255'),
+    ('bagnet17', '1884', '6b2a100f8d14d4616709586483f625743ed04769', 'v0.0.255'),
+    ('bagnet33', '1301', '4f17b6e837dacd978b15708ffbb2c1e6be3c371a', 'v0.0.255'),
     ('dla34', '0794', '04698d78b16f2d08e4396b5b0c9f46cb42542242', 'v0.0.202'),
     ('dla46c', '1371', 'cc9191790bf5839a8ca7a5b2fa39278b651c2c77', 'v0.0.202'),
     ('dla46xc', '1302', '1161f37bfdd7852ffe1fbd00bf9dd39290d6e839', 'v0.0.202'),