This is implementation of Weizmann horse segmentation with deep value network.
- Pretrain the model with FCN, and save the weight into tmp/
- Fine-tuning the weight with DVN
- Adversarial + Inference (init=0) + Adam(lr=0.0001, weight_decay=0.001) + Seed=0 Have best performance so far.