Add initial ResNet Strikes Back weights for ResNet50 and ResNetV2-50 models

timm/models/resnet.py

@@ -53,11 +53,11 @@ default_cfgs = {
         url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-attn-weights/resnet26t_256_ra2-6f6fa748.pth',
         interpolation='bicubic', first_conv='conv1.0', input_size=(3, 256, 256), pool_size=(8, 8)),
     'resnet50': _cfg(
-        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet50_ram-a26f946b.pth',
+        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-rsb-weights/resnet50_a1_0-00ca2c6a.pth',
         interpolation='bicubic'),
     'resnet50d': _cfg(
         url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet50d_ra2-464e36ba.pth',
-        interpolation='bicubic', first_conv='conv1.0'),
+        interpolation='bicubic', first_conv='conv1.0', crop_pct=0.95),
     'resnet50t': _cfg(
         url='',
         interpolation='bicubic', first_conv='conv1.0'),

timm/models/resnetv2.py

@@ -105,7 +105,8 @@ default_cfgs = {
         input_size=(3, 384, 384), pool_size=(12, 12), crop_pct=1.0, interpolation='bicubic'),
 
     'resnetv2_50': _cfg(
-        interpolation='bicubic'),
+        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-rsb-weights/resnetv2_50_a1_h-000cdf49.pth',
+        interpolation='bicubic', crop_pct=0.95),
     'resnetv2_50d': _cfg(
         interpolation='bicubic', first_conv='stem.conv1'),
     'resnetv2_50t': _cfg(