k-han / DTC
"Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)
☆164Updated 2 years ago
Alternatives and similar repositories for DTC:
Users that are interested in DTC are comparing it to the libraries listed below
- "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…☆229Updated 5 years ago
- Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)☆147Updated 3 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆116Updated 4 years ago
- ☆129Updated 2 years ago
- Meta-Learning based Noise-Tolerant Training☆124Updated 4 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021☆74Updated 2 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆137Updated 5 years ago
- ☆91Updated 3 years ago
- Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"☆154Updated last year
- Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery☆155Updated 5 years ago
- pytorch implement for the paper Few-Shot Adversarial Domain Adaptation☆54Updated last year
- Official code for "Towards Recognizing Unseen Categories in Unseen Domains"☆64Updated 2 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- Deep Comprehensive Correlation Mining☆82Updated 5 years ago
- Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation☆58Updated 4 years ago
- Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)☆64Updated 4 years ago
- ☆132Updated 4 years ago
- Domain Generalization via Model-Agnostic Learning of Semantic Features☆146Updated 2 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆150Updated 4 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆84Updated 5 years ago
- ☆114Updated 4 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 2 years ago
- Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"☆248Updated 2 years ago
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆104Updated 4 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- [CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition☆160Updated 4 years ago
- [ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation☆30Updated 4 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆119Updated 4 years ago