feipanir / IntraDALinks
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)
☆276Updated last year
Alternatives and similar repositories for IntraDA
Users that are interested in IntraDA are comparing it to the libraries listed below
Sorting:
- ☆223Updated 3 years ago
- Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation☆392Updated 4 years ago
- This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.☆276Updated 3 weeks ago
- SC-CAM: Weakly-Supervised Semantic Segmentation via Sub-category Exploration (CVPR 2020)☆181Updated 4 years ago
- Depth-aware Domain Adaptation in Semantic Segmentation☆116Updated 5 years ago
- (ECCV 2020) Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation☆141Updated 4 years ago
- Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 20…☆144Updated 10 months ago
- ☆71Updated last year
- Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation☆163Updated 4 years ago
- ☆215Updated 4 years ago
- IJCAI2020 & IJCV2021 Unsupervised Scene Adaptation with Memory Regularization in vivo☆393Updated last year
- Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018☆391Updated 4 years ago
- A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks [ECCV 2020]☆290Updated 4 years ago
- Implementation for "Context Prior for Scene Segmentation"☆249Updated 4 years ago
- Learning Integral Objects with Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation☆71Updated 4 years ago
- semantic segmentation,pytorch,non-local☆313Updated 5 years ago
- Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18☆191Updated 5 years ago
- Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.☆115Updated last year
- The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"☆194Updated 5 years ago
- Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).☆252Updated 6 years ago
- Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)☆383Updated 3 years ago
- (NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation☆144Updated 2 years ago
- Regularized Losses (rloss) for Weakly-supervised CNN Segmentation☆212Updated last year
- Zero-Shot Semantic Segmentation☆191Updated 5 years ago
- List of useful codes and papers for weakly supervised Semantic/Instance/Panoptic/Few Shot Segmentation☆173Updated 4 years ago
- Implementation of NeurIPS 2019 paper "Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior"☆97Updated 5 years ago
- SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation☆114Updated 4 years ago
- FSS-1000, A 1000-class Dataset For Few-shot Segmentation☆278Updated 4 years ago
- Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation, CVPR 2020☆105Updated 4 years ago
- RefineNet-101 VOC in PyTorch☆194Updated 2 years ago