# WAGYU

### Github
https://github.com/Chao-Chen-Hao/WAGYU-MD

### Related Works
- GAN-based Approach:
- FCNs in the wild
- CyCADA
- MCD
- AdaptSegNet
- FCAN
- MRNet
-

### SOTA Segmentation Network
- (ECCV 2020) HRNet+OCR
- Paper: https://arxiv.org/pdf/1909.11065.pdf
- Code: https://github.com/HRNet/HRNet-Semantic-Segmentation/tree/HRNet-OCR
- (ECCV 2018) Deeplabv3+
- Paper: https://arxiv.org/pdf/1802.02611v3.pdf
- Code: https://github.com/jfzhang95/pytorch-deeplab-xception
- (Apr 2020) BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation
- Paper: https://arxiv.org/pdf/2004.02147v1.pdf
- Code: https://github.com/CoinCheung/BiSeNet

### CV Tricks
- Auto-labelling & multi-scaled input: https://arxiv.org/pdf/2005.10821v1.pdf

### Useful Resources
- (2020 Jul) DACS: Domain Adaptation via Cross-domain Mixed Sampling
- paper: https://arxiv.org/abs/2007.08702
- code: https://github.com/vikolss/DACS

- (2020 Apr) Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
- paper: https://arxiv.org/abs/2003.03773
- code: https://github.com/layumi/Seg-Uncertainty

- (2019 ICCV) Confidence Regularized Self-Training
- paper: https://arxiv.org/abs/1908.09822
- code: https://github.com/yzou2/CRST

#### Related works
- Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation
- paper: https://arxiv.org/abs/2005.07839

#### commands

*** gpu ***
export CUDA_VISIBLE_DEVICES=0,1
nvidia-smi -l 1

*** scp data transfer ***
scp -r test [e-mail]:

*** requirement.txt ***
pip freeze > requirement.txt

*** virtual environment ***
virtualenv wagyu_env --python=python3.6

*** dependancy ***
pip install -r requirement.txt

## R-MRDADA: Rectified Depth-Aware Domain Adaptation

### Github
https://github.com/Chao-Chen-Hao/R-DADA


### Useful Resources
- (ICCV 2019) DADA: Depth-Aware Domain Adaptation in Semantic Segmentation
- Paper: https://arxiv.org/pdf/1904.01886.pdf
- Code: https://github.com/valeoai/DADA

- (Apr 2020) Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
- paper: https://arxiv.org/abs/2003.03773
- code: https://github.com/layumi/Seg-Uncertainty