maple-research-lab / WCPLinks
Source code for "WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning" in CPVR 2020.
☆23Updated 5 years ago
Alternatives and similar repositories for WCP
Users that are interested in WCP are comparing it to the libraries listed below
Sorting:
- Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.☆116Updated 2 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆95Updated 6 years ago
- [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization☆48Updated 3 years ago
- Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019☆71Updated 5 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated 2 years ago
- A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems☆20Updated 5 years ago
- Offical code base for the ECCV oral paper "Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation"☆60Updated 5 years ago
- Batch-Instance Normalization (BIN)☆78Updated 6 years ago
- (CVPR 2020 oral) DEPARA : Deep Attribution Graph for Deep Knowledge Transferbility☆41Updated 5 years ago
- SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation☆115Updated 5 years ago
- PyTorch Vision Toolbox not only for deep-clustering☆30Updated 3 years ago
- Self-Supervised Feature Learning by Learning to Spot Artifacts. In CVPR, 2018.☆18Updated 2 years ago
- One-shot Learning for Semantic Segmentation☆118Updated 5 years ago
- [ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation☆94Updated 2 years ago
- Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)☆45Updated 5 years ago
- Attention \ Saliency maps and features visualization for deep learning models in pytorch☆29Updated 5 years ago
- Code for Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach☆72Updated 6 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆39Updated 7 years ago
- Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"☆175Updated 5 years ago
- Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019☆51Updated 6 years ago
- Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18☆191Updated 6 years ago
- A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Local…☆60Updated 7 years ago
- self-supervised domain adaptation☆48Updated 5 years ago
- Learning with Noisy Class Labels for Instance Segmentation☆29Updated 4 years ago
- Noise-Aware Fully Webly Supervised Object Detection☆25Updated 4 years ago
- ☆50Updated 6 years ago
- Adaptive Masked Proxies for Few Shot Semantic Segmentation☆106Updated 2 years ago
- ☆69Updated 4 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- ☆26Updated 5 years ago