Update README.md

Author: hangzhaomit

README.md

@@ -24,16 +24,19 @@ Encoder:
 
 Decoder:
 - c1_bilinear (1 conv + bilinear upsample)
-- c5_bilinear (5 conv + bilinear upsample)
 - psp_bilinear (pyramid pooling + bilinear upsample, see PSPNet paper for details)
 
-## Performance: (updating...)
+## Performance:
 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 0.3277, Accuracy: 76.47% 
 
 - resnet34_dilated8 + psp_bilinear: Mean IoU 0.3612, Accuracy: 77.94% 
 
+- resnet50_dilated8 + c1_bilinear: Mean IoU 0.3385, Accuracy: 76.40% 
+
+- resnet50_dilated8 + psp_bilinear: Mean IoU 0.3800, Accuracy: 78.21% 
+
 ## Environment
 The code is developed under the following configurations.
 - Hardware: 2-8 Pascal Titan X GPUs (change ```[--num_gpus NUM_GPUS]``` accordingly)