XLearning-SCU / Awesome-Noisy-CorrespondenceLinks
This is a summary of research on noisy correspondence. There may be omissions. If anything is missing please get in touch with us. Our emails: linyijie.gm@gmail.com yangmouxing@gmail.com qinyang.gm@gmail.com
☆69Updated last month
Alternatives and similar repositories for Awesome-Noisy-Correspondence
Users that are interested in Awesome-Noisy-Correspondence are comparing it to the libraries listed below
Sorting:
- This is a summary of research on noisy correspondence. There may be omissions. If anything is missing please get in touch with us. Our em…☆67Updated last week
- PyTorch implementation for Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining (TIP 2024)☆17Updated last year
- Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval ( ACM Multimedia 2022, Pytorch Code)☆43Updated last year
- ☆10Updated last year
- ☆34Updated last year
- ☆74Updated last year
- The code of the paper "Negative Pre-aware for Noisy Cross-modal Matching" in AAAI 2024.☆22Updated 2 weeks ago
- ☆27Updated 2 years ago
- Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".☆35Updated 6 months ago
- Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (AAAI 2024)☆73Updated 5 months ago
- Source code of our AAAI 2024 paper "Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval"☆44Updated last year
- Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.☆45Updated this week
- Cross-modal Active Complementary Learning with Self-refining Correspondence (NeurIPS 2023, Pytorch Code)☆16Updated last year
- The official implementation of paper "Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval" accepted by NeurIPS…☆26Updated last year
- Cross-Modal Retrieval with Partially Mismatched Pairs (IEEE TPAMI 2023, PyTorch Code)☆21Updated last year
- Pytorch Implementation of LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification☆33Updated this week
- CLIP-Driven Fine-grained Text-Image Person Re-identification☆52Updated last year
- [CVPR2024] Simple Semantic-Aided Few-Shot Learning☆45Updated 10 months ago
- Code and Dataset for the paper "LAMM: Label Alignment for Multi-Modal Prompt Learning" AAAI 2024☆32Updated last year
- Noisy-Correspondence Learning for Text-to-Image Person Re-identification (CVPR 2024 Pytorch Code)☆92Updated 7 months ago
- (CVPR2024 Highlight) Novel Class Discovery for Ultra-Fine-Grained Visual Categorization (UFG-NCD)☆20Updated last year
- Unsupervised Contrastive Cross-modal Hashing (IEEE TPAMI 2023, PyTorch Code)☆61Updated last year
- The repo for "Enhancing Multi-modal Cooperation via Sample-level Modality Valuation", CVPR 2024☆53Updated 8 months ago
- [ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"☆51Updated 10 months ago
- ☆24Updated last year
- [ICLR 2025] Official Implementation of Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection☆42Updated 3 months ago
- ☆36Updated last year
- Composed Person Retrieval (CPR) is a new cross-modal retrieval task that aims to identify individuals in large-scale person image databas…☆25Updated last month
- USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval, TIP 2024☆32Updated 3 weeks ago
- [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"☆106Updated last month