hui-po-wang / DISE-Domain-Invariant-Structure-Extraction
Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019
☆144Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for DISE-Domain-Invariant-Structure-Extraction
- ☆70Updated 4 months ago
- ☆223Updated 2 years ago
- Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18☆189Updated 5 years ago
- Depth-aware Domain Adaptation in Semantic Segmentation☆114Updated 4 years ago
- Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation☆111Updated 6 years ago
- Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.☆113Updated last year
- Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)☆233Updated 4 years ago
- Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019☆71Updated 4 years ago
- Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)☆271Updated 11 months ago
- (NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation☆142Updated last year
- [ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation☆94Updated last year
- Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation, CVPR 2020☆104Updated 4 years ago
- Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017☆129Updated 3 years ago
- [AAAI 2019] Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation☆102Updated 3 years ago
- ☆67Updated 4 years ago
- (ECCV 2020) Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation☆141Updated 4 years ago
- pytorch implementation of fcn in the wild☆25Updated last year
- The pytorch implementation of self-supervised scale equivariant network for weakly supervised semantic segmentation.☆101Updated 4 years ago
- ( TPAMI2022 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation☆295Updated 3 years ago
- Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]☆119Updated 4 years ago
- This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.☆269Updated last year
- Superpixel Pooling implemented in PyTorch and Chainer☆136Updated 5 years ago
- Code for Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach☆72Updated 4 years ago
- [CVPR 2020] Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation☆89Updated last year
- Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation☆382Updated 3 years ago
- List of useful codes and papers for weakly supervised Semantic/Instance/Panoptic/Few Shot Segmentation☆173Updated 3 years ago
- Pytorch implementation of Deeplab Large-FOV☆29Updated 6 years ago
- [CVPR 2019] CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency☆54Updated 4 years ago
- ( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation☆70Updated 3 years ago
- Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"☆170Updated 4 years ago