ZJULearning / MaxSquareLossLinks
Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.
☆116Updated 2 years ago
Alternatives and similar repositories for MaxSquareLoss
Users that are interested in MaxSquareLoss are comparing it to the libraries listed below
Sorting:
- Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019☆71Updated 5 years ago
- [ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation☆94Updated 2 years ago
- Code for Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach☆72Updated 5 years ago
- Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18☆192Updated 5 years ago
- pytorch implementation of fcn in the wild☆26Updated 2 years ago
- ☆71Updated last year
- Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 20…☆144Updated last year
- (NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation☆144Updated 2 years ago
- Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]☆119Updated 5 years ago
- (ECCV 2020) Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation☆141Updated 5 years ago
- ☆222Updated 3 years ago
- Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)☆238Updated 5 years ago
- Depth-aware Domain Adaptation in Semantic Segmentation☆116Updated 5 years ago
- Learning Integral Objects with Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation☆71Updated 4 years ago
- Pytorch Implementation for NeurIPS (oral) paper: Pixel Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentati…☆93Updated 4 years ago
- [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization☆48Updated 3 years ago
- ( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation☆70Updated 4 years ago
- The pytorch implementation of self-supervised scale equivariant network for weakly supervised semantic segmentation.☆101Updated 5 years ago
- Adaptive Masked Proxies for Few Shot Semantic Segmentation☆106Updated 2 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☆105Updated 5 years ago
- SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation☆115Updated 4 years ago
- Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"☆175Updated 5 years ago
- Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)☆275Updated last year
- SC-CAM: Weakly-Supervised Semantic Segmentation via Sub-category Exploration (CVPR 2020)☆181Updated 4 years ago
- ☆137Updated 3 years ago
- Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation☆162Updated 4 years ago
- This is an implement of ACE: Adapting to Changing Environments for Semantic Segmentation☆15Updated 5 years ago
- self-supervised domain adaptation☆48Updated 5 years ago
- Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019☆51Updated 6 years ago