Merge branch 'master' of github.com:hangzhaomit/semantic-segmentation-pytorch

Author: hangzhaomit

README.md

@@ -25,14 +25,14 @@ Encoder:
 Decoder:
 - c1_bilinear (1 conv + bilinear upsample)
 - c5_bilinear (5 conv + bilinear upsample)
-- psp_bilinear (pyramid pooling + bilinear upsample)
+- psp_bilinear (pyramid pooling + bilinear upsample, see PSPNet paper for details)
 
 ## Performance: (updating...)
 IMPORTANT: One obstacle to a good dilated ResNet model is that batch normalization layers are usutally not well trained with a small batch size (<16). So in this repo, we trained customized ResNet on Places365 (will be automatically downloaded when needed) as the initialization for scene parsing model. You can simply set ```--fix_bn 1``` to freeze BN parameters during training.
 
-- resnet34_dilated8 + c1_bilinear: Mean IoU 0.3104, Accuracy: 76.24% 
+- resnet34_dilated8 + c1_bilinear: Mean IoU 0.3277, Accuracy: 76.47% 
 
-- resnet34_dilated8 + psp_bilinear: Mean IoU 0.3558, Accuracy: 77.72% 
+- resnet34_dilated8 + psp_bilinear: Mean IoU 0.3612, Accuracy: 77.94% 
 
 ## Environment
 The code is developed under the following configurations.