liyunsheng13 / BDL
☆223Updated 3 years ago
Alternatives and similar repositories for BDL:
Users that are interested in BDL are comparing it to the libraries listed below
- Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 20…☆144Updated 4 months ago
- Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)☆273Updated last year
- ☆70Updated 8 months ago
- Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18☆191Updated 5 years ago
- Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation☆386Updated 4 years ago
- ( TPAMI2022 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation☆295Updated 4 years ago
- Depth-aware Domain Adaptation in Semantic Segmentation☆114Updated 5 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)☆237Updated 4 years ago
- Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation☆112Updated 6 years ago
- (ECCV 2020) Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation☆141Updated 4 years ago
- Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017☆129Updated 4 years ago
- This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.☆272Updated 2 weeks ago
- (NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation☆142Updated last year
- Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).☆250Updated 6 years ago
- List of useful codes and papers for weakly supervised Semantic/Instance/Panoptic/Few Shot Segmentation☆172Updated 3 years ago
- [ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation☆94Updated last year
- Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"☆172Updated 4 years ago
- Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019☆71Updated 4 years ago
- The pytorch implementation of self-supervised scale equivariant network for weakly supervised semantic segmentation.☆101Updated 4 years ago
- SC-CAM: Weakly-Supervised Semantic Segmentation via Sub-category Exploration (CVPR 2020)☆179Updated 3 years ago
- Semi-supervised semantic segmentation needs strong, varied perturbations☆164Updated 3 years ago
- [CVPR 2020] Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation☆91Updated 2 years ago
- Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation, CVPR 2020☆104Updated 4 years ago
- ☆135Updated 3 years ago
- Adaptive Masked Proxies for Few Shot Semantic Segmentation☆106Updated last year
- Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)☆288Updated last year
- (CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization☆163Updated 6 years ago
- Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)☆33Updated 6 years ago
- [AAAI 2019] Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation☆102Updated 3 years ago