Correr-Zhou / Awesome-Single-Positive-Multi-Label-LearningLinks
A curated list of papers and code in exploring single positive multi-label learning (SPML), a interesting and challenging variant of multi-label learning.
☆31Updated 2 weeks ago
Alternatives and similar repositories for Awesome-Single-Positive-Multi-Label-Learning
Users that are interested in Awesome-Single-Positive-Multi-Label-Learning are comparing it to the libraries listed below
Sorting:
- Implementation for "DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations" (NeurIPS 2022))☆68Updated 2 years ago
- [ECCV 2022] Offical implementation of the paper "Acknowledging the Unknown for Multi-label Learning with Single Positive Labels".☆44Updated last year
- ☆94Updated 2 years ago
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆100Updated 4 months ago
- ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No☆140Updated last year
- Official implementations of our LaZSL (ICCV'25)☆37Updated 3 months ago
- [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without F…☆277Updated 2 years ago
- [CVPR 2023] Diversity-Aware Meta Visual Prompting☆82Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆68Updated 2 years ago
- [AAAI'25, CVPRW 2024] Official repository of paper titled "Learning to Prompt with Text Only Supervision for Vision-Language Models".☆115Updated 10 months ago
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆102Updated last year
- Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (AAAI 2024)☆73Updated 9 months ago
- Related papers about Referring Image Segmentation (RIS)☆16Updated last year
- ☆175Updated last year
- Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.☆49Updated 3 months ago
- Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels [CVPR 2023]☆14Updated 2 years ago
- Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]☆105Updated 2 years ago
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆171Updated last year
- CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning☆17Updated last year
- Code release for "Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation"☆13Updated 2 years ago
- The official implementation of paper Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model. If you find our code or paper use…☆49Updated 2 years ago
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆199Updated 3 years ago
- Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)☆70Updated last year
- PyTorch Implementation for InMaP☆11Updated 2 years ago
- The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".☆84Updated 6 months ago
- ☆104Updated last year
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆103Updated last year
- ☆28Updated last year
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆109Updated last year
- [ICCV 2023] Official repository of paper titled "Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?"☆25Updated 2 years ago