tongoy / awesome-few-shot-learning
A list of awesome few-shot learning resources.
☆14Updated last month
Related projects: ⓘ
- Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]☆51Updated last year
- Official Code of SATS: Self-Attention Transfer for Continual Semantic Segmentation☆21Updated last year
- Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)☆36Updated 9 months ago
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆63Updated last year
- ☆55Updated 2 months ago
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆40Updated 3 months ago
- [CVPR2023] Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions☆68Updated last year
- ☆31Updated last year
- The offical Pytorch code for "Uncertainty-aware Contrastive Distillation\\for Incremental Semantic Segmentation"☆33Updated 2 years ago
- ☆30Updated 7 months ago
- Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation☆14Updated last month
- [NeurIPS 2022] Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning☆67Updated 7 months ago
- Code implementation for the paper: Supervised Masked Knowledge Distillation for Few-Shot Transformers☆36Updated last year
- [NeurIPS 2023] Focus Your Attention when Few-Shot Classification☆15Updated 6 months ago
- [ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning☆56Updated last year
- ☆17Updated last year
- [ICML 2022] Channel Importance Matters in Few-shot Image Classification☆55Updated last year
- Official implementation of "CoMFormer: Continual Learning in Semantic and Panoptic Segmentation"☆37Updated last year
- The summary of code and paper for few-shot learning in fine-grained recognition☆54Updated 5 months ago
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆50Updated 7 months ago
- Code for "Learning Orthogonal Prototypes for Generalized Few-shot Semantic Segmentation" [CVPR2023]☆21Updated 3 months ago
- [ECCV2022] PyTorch re-implementation of Self-Supervision Can Be a Good Few-Shot Learner☆37Updated last year
- ☆22Updated 9 months ago
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆31Updated last year
- Code for <Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation> in CVPR 2022☆27Updated 2 years ago
- Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation (CVPR 2023)☆34Updated 6 months ago
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆89Updated 8 months ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆61Updated 3 weeks ago
- [CVPR'23] Official PyTorch implementation of Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification…☆36Updated 10 months ago
- Code release for Bi-Directional Feature Reconstruction Network for Fine-grained Few-shot Image Classification☆48Updated last year