Update info about X-DenseNet models for SVHN

Swapnil2095 · Apr 17, 2019 · 0dcd005 · 0dcd005
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diff --git a/README.md b/README.md
@@ -98,7 +98,7 @@ Some remarks:
 | 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 |
 | ESPNetv2 | A+ | A+ | A+ | - | - | [link](https://arxiv.org/abs/1811.11431) | [link](https://github.com/sacmehta/ESPNetv2) | 2018 |
-| X-DenseNet | AB+C+ | AB+C+ | AB+C+ | - | - | [link](https://arxiv.org/abs/1711.08757) | [link](https://github.com/DrImpossible/Deep-Expander-Networks) | 2017 |
+| X-DenseNet | AB+C+D+ | AB+C+D+ | AB+C+D+ | - | - | [link](https://arxiv.org/abs/1711.08757) | [link](https://github.com/DrImpossible/Deep-Expander-Networks) | 2017 |
 | SqueezeNet | A+ | A+ | A+ | A+ | A+ | [link](https://arxiv.org/abs/1602.07360) | [link](https://github.com/DeepScale/SqueezeNet) | 2016 |
 | SqueezeResNet | A+ | A+ | A+ | A+ | A+ | [link](https://arxiv.org/abs/1602.07360) | - | 2016 |
 | SqueezeNext | A+ | A+ | A+ | A+ | A+ | [link](https://arxiv.org/abs/1803.10615) | [link](https://github.com/amirgholami/SqueezeNext) | 2018 |

diff --git a/chainer_/README.md b/chainer_/README.md
@@ -381,6 +381,8 @@ Some remarks:
 | DenseNet-40 (k=12) | 3.05 | 599,050 | 210.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.278/densenet40_k12_svhn-0305-8d563cdf.npz.log)) |
 | DenseNet-BC-40 (k=12) | 3.20 | 176,122 | 74.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.279/densenet40_k12_bc_svhn-0320-52bd7900.npz.log)) |
 | DenseNet-BC-40 (k=24) | 2.90 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.280/densenet40_k24_bc_svhn-0290-268af51a.npz.log)) |
+| X-DenseNet-BC-40-2 (k=24) | 2.87 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.306/xdensenet40_2_k24_bc_svhn-0287-065f3847.npz.log)) |
+| X-DenseNet-BC-40-2 (k=36) | 2.74 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.306/xdensenet40_2_k36_bc_svhn-0274-bf7f7de9.npz.log)) |
 | WRN-16-10 | 2.78 | 17,116,634 | 2,414.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.271/wrn16_10_svhn-0278-b87185c8.npz.log)) |
 | WRN-28-10 | 2.71 | 36,479,194 | 5,246.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.276/wrn28_10_svhn-0271-59f255be.npz.log)) |
 | WRN-40-8 | 2.54 | 35,748,314 | 5,176.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.277/wrn40_8_svhn-0254-8af6aad0.npz.log)) |

diff --git a/chainer_/chainercv2/models/model_store.py b/chainer_/chainercv2/models/model_store.py
@@ -248,8 +248,10 @@
     ('densenet250_k24_bc_cifar100', '1739', '9100f02ada0459792e3305feddda602e3278833a', 'v0.0.303'),
     ('xdensenet40_2_k24_bc_cifar10', '0531', 'd3c448ab2c110f873579093ff9a69e735d80b4e7', 'v0.0.226'),
     ('xdensenet40_2_k24_bc_cifar100', '2396', '84357bb40bcd1da5cf6237ea5755a309bcf36d49', 'v0.0.227'),
+    ('xdensenet40_2_k24_bc_svhn', '0287', '065f384765a1eaaba26d1d9224878658cbb9cb84', 'v0.0.306'),
     ('xdensenet40_2_k36_bc_cifar10', '0437', 'fb6d7431c005eb9965da0e1b2872c048d6b31b30', 'v0.0.233'),
     ('xdensenet40_2_k36_bc_cifar100', '2165', '9ac51e902167ba05f1c21ed1a9690c1fd4cad3eb', 'v0.0.234'),
+    ('xdensenet40_2_k36_bc_svhn', '0274', 'bf7f7de9f9b9661385a47b5e241fdc0c54287a8c', 'v0.0.306'),
     ('wrn16_10_cifar10', '0293', '4ac60015e3b287580d11e605793b3426e8184137', 'v0.0.166'),
     ('wrn16_10_cifar100', '1895', 'd6e852788e29532c8a12bb39617a2e81aba2483f', 'v0.0.204'),
     ('wrn16_10_svhn', '0278', 'b87185c815b64a1290ecbb7a217447906c77da75', 'v0.0.271'),

diff --git a/gluon/README.md b/gluon/README.md
@@ -408,6 +408,8 @@ Some remarks:
 | DenseNet-40 (k=12) | 3.05 | 599,050 | 210.80M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.278/densenet40_k12_svhn-0305-645564c1.params.log)) |
 | DenseNet-BC-40 (k=12) | 3.20 | 176,122 | 74.89M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.279/densenet40_k12_bc_svhn-0320-6f2f9824.params.log)) |
 | DenseNet-BC-40 (k=24) | 2.90 | 690,346 | 293.09M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.280/densenet40_k24_bc_svhn-0290-03e136dd.params.log)) |
+| X-DenseNet-BC-40-2 (k=24) | 2.87 | 690,346 | 293.09M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.306/xdensenet40_2_k24_bc_svhn-0287-745f374b.params.log)) |
+| X-DenseNet-BC-40-2 (k=36) | 2.74 | 1,542,682 | 654.60M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.306/xdensenet40_2_k36_bc_svhn-0274-4377e891.params.log)) |
 | WRN-16-10 | 2.78 | 17,116,634 | 2,414.04M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.271/wrn16_10_svhn-0278-76f4e136.params.log)) |
 | WRN-28-10 | 2.71 | 36,479,194 | 5,246.98M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.276/wrn28_10_svhn-0271-fcd7a6b0.params.log)) |
 | WRN-40-8 | 2.54 | 35,748,314 | 5,176.90M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.277/wrn40_8_svhn-0254-be7a21da.params.log)) |

diff --git a/gluon/gluoncv2/models/model_store.py b/gluon/gluoncv2/models/model_store.py
@@ -255,8 +255,10 @@
     ('densenet250_k24_bc_cifar100', '1739', '598e91b7906f427296ab72cf40032f0846a52d91', 'v0.0.303'),
     ('xdensenet40_2_k24_bc_cifar10', '0531', '66c9d384d3ef4ec4095c9759bb8b7986f2f58e26', 'v0.0.226'),
     ('xdensenet40_2_k24_bc_cifar100', '2396', '73d5ba88a39b971457b9cea2cd72d1e05ab4d165', 'v0.0.227'),
+    ('xdensenet40_2_k24_bc_svhn', '0287', '745f374b398bce378903af8c71cb3c67f6891d7f', 'v0.0.306'),
     ('xdensenet40_2_k36_bc_cifar10', '0437', 'e9bf419295f833b56fa3da27218107ed42310307', 'v0.0.233'),
     ('xdensenet40_2_k36_bc_cifar100', '2165', '78b6e754d90774d7b6ec3d811e6e57192148cfbf', 'v0.0.234'),
+    ('xdensenet40_2_k36_bc_svhn', '0274', '4377e8918c1e008201aafc448f642642474eab14', 'v0.0.306'),
     ('wrn16_10_cifar10', '0293', 'ecf1c17c0814763095df562cb27d15a5aeb51836', 'v0.0.166'),
     ('wrn16_10_cifar100', '1895', 'bcb5c89ca71ffc99bc09b861b339724047724659', 'v0.0.204'),
     ('wrn16_10_svhn', '0278', '76f4e1361f9eca82fa4c2764b530f57280a34cfe', 'v0.0.271'),

diff --git a/pytorch/README.md b/pytorch/README.md
@@ -396,6 +396,8 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil
 | DenseNet-40 (k=12) | 3.05 | 599,050 | 210.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.278/densenet40_k12_svhn-0305-ac0de84a.pth.log)) |
 | DenseNet-BC-40 (k=12) | 3.20 | 176,122 | 74.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.279/densenet40_k12_bc_svhn-0320-32076052.pth.log)) |
 | DenseNet-BC-40 (k=24) | 2.90 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.280/densenet40_k24_bc_svhn-0290-f4440d3b.pth.log)) |
+| X-DenseNet-BC-40-2 (k=24) | 2.87 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.306/xdensenet40_2_k24_bc_svhn-0287-fd9b6def.pth.log)) |
+| X-DenseNet-BC-40-2 (k=36) | 2.74 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.306/xdensenet40_2_k36_bc_svhn-0274-540a69f1.pth.log)) |
 | WRN-16-10 | 2.78 | 17,116,634 | 2,414.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.271/wrn16_10_svhn-0278-5ab2a4ed.pth.log)) |
 | WRN-28-10 | 2.71 | 36,479,194 | 5,246.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.276/wrn28_10_svhn-0271-d62b6bba.pth.log)) |
 | WRN-40-8 | 2.54 | 35,748,314 | 5,176.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.277/wrn40_8_svhn-0254-dee59602.pth.log)) |

diff --git a/pytorch/pytorchcv/model_provider.py b/pytorch/pytorchcv/model_provider.py
@@ -83,7 +83,7 @@
 from .models.pspnet import *
 from .models.deeplabv3 import *
 
-from .models.others.oth_ntsnet2 import *
+# from .models.others.oth_ntsnet2 import *
 from .models.ntsnet import *
 
 __all__ = ['get_model']
@@ -604,7 +604,7 @@
     'deeplabv3_resnetd50b_cityscapes': deeplabv3_resnetd50b_cityscapes,
     'deeplabv3_resnetd101b_cityscapes': deeplabv3_resnetd101b_cityscapes,
 
-    'oth_ntsnet': oth_ntsnet,
+    # 'oth_ntsnet': oth_ntsnet,
     'ntsnet': ntsnet,
 }
 

diff --git a/pytorch/pytorchcv/models/model_store.py b/pytorch/pytorchcv/models/model_store.py
@@ -254,8 +254,10 @@
     ('densenet250_k24_bc_cifar100', '1739', '09ac3e7d9fbe6b97b170bd838dac20ec144b4e49', 'v0.0.303'),
     ('xdensenet40_2_k24_bc_cifar10', '0531', 'b91a9dc35877c4285fe86f49953d1118f6b69e57', 'v0.0.226'),
     ('xdensenet40_2_k24_bc_cifar100', '2396', '0ce8f78ab9c6a4786829f816ae0615c7905f292c', 'v0.0.227'),
+    ('xdensenet40_2_k24_bc_svhn', '0287', 'fd9b6def10f154378a76383cf023d7f2f5ae02ab', 'v0.0.306'),
     ('xdensenet40_2_k36_bc_cifar10', '0437', 'ed264a2060836c7440f0ccde57315e1ec6263ff0', 'v0.0.233'),
     ('xdensenet40_2_k36_bc_cifar100', '2165', '6f68f83dc31dea5237e6362e6c6cfeed48a8d9e3', 'v0.0.234'),
+    ('xdensenet40_2_k36_bc_svhn', '0274', '540a69f13a6ce70bfef13657e70dfa414d966581', 'v0.0.306'),
     ('wrn16_10_cifar10', '0293', 'ce810d8a17a2deb73eddb5bec8709f93278bc53e', 'v0.0.166'),
     ('wrn16_10_cifar100', '1895', 'bef9809c845deb1b2bb0c9aaaa7c58bd97740504', 'v0.0.204'),
     ('wrn16_10_svhn', '0278', '5ab2a4edd5398a03d2e28db1b075bf0313ae5828', 'v0.0.271'),