yuyinzhou / L2B
This repository includes the official project of L2B, from our paper "Learning to Bootstrap for Combating Label Noise".
☆31Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for L2B
- ☆19Updated last year
- This repository contains the code and datasets for our ICCV-W paper 'Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts…☆26Updated 9 months ago
- [ICLR 2022]: Fast AdvProp☆35Updated 2 years ago
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆37Updated 6 months ago
- [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…☆59Updated 5 months ago
- Bag of Instances Aggregation Boosts Self-supervised Distillation (ICLR 2022)☆33Updated 2 years ago
- [ECCV 2022] This repository includes the official implementation our paper "In Defense of Image Pre-Training for Spatiotemporal Recogniti…☆19Updated last year
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆51Updated 2 years ago
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆99Updated last year
- ☆14Updated 2 years ago
- [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…☆25Updated 2 years ago
- ☆12Updated 2 years ago
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆25Updated 10 months ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆68Updated last year
- This is a offical PyTorch/GPU implementation of SupMAE.☆77Updated 2 years ago
- ☆29Updated last year
- ☆50Updated 11 months ago
- An open-world scenario domain generalization code base☆25Updated last year
- [CVPR2022] Official Implementation of the paper 'Learning Where to Learn in Cross-View Self-Supervised Learning'☆26Updated 2 years ago
- ☆56Updated last year
- MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)☆31Updated 9 months ago
- Domain Generalization through Distilling CLIP with Language Guidance☆24Updated last year
- NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning☆17Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆51Updated last year
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆51Updated 10 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆62Updated 4 months ago
- ☆32Updated 7 months ago
- [ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning☆59Updated last year
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆33Updated last year
- Towards Unified and Effective Domain Generalization☆29Updated 11 months ago