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
☆101Updated last week
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…☆72Updated last week
- PyTorch implementation for Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining (TIP 2024)☆17Updated last year
- ☆76Updated last year
- The code of the paper "Negative Pre-aware for Noisy Cross-modal Matching" in AAAI 2024.☆22Updated 3 months ago
- Cross-modal Active Complementary Learning with Self-refining Correspondence (NeurIPS 2023, Pytorch Code)☆16Updated last year
- Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval ( ACM Multimedia 2022, Pytorch Code)☆44Updated last year
- ☆11Updated last year
- The repo for "Enhancing Multi-modal Cooperation via Sample-level Modality Valuation", CVPR 2024☆56Updated 11 months ago
- Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.☆49Updated 3 months ago
- ☆35Updated last year
- ☆27Updated 2 years ago
- Unsupervised Contrastive Cross-modal Hashing (IEEE TPAMI 2023, PyTorch Code)☆67Updated last year
- [ACM MM 2024] Pytorch Code for the paper "Robust Variational Contrastive Learning for Partially View-unaligned Clustering"☆13Updated 9 months ago
- Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".☆42Updated 10 months ago
- [NeurIPS 2024] Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models☆39Updated last year
- Pytorch Implementation of LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification☆81Updated last month
- Cross-Modal Retrieval with Partially Mismatched Pairs (IEEE TPAMI 2023, PyTorch Code)☆21Updated 2 years ago
- Source code of our AAAI 2024 paper "Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval"☆48Updated last year
- Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (AAAI 2024)☆74Updated 8 months ago
- [CVPR 2025] Official Pytorch implementation of "Learning with Noisy Triplet Correspondence for Composed Image Retrieval".☆17Updated 4 months ago
- Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching (ACM SIGIR 2024, Pytorch Code)☆24Updated 8 months ago
- Code and Dataset for the paper "LAMM: Label Alignment for Multi-Modal Prompt Learning" AAAI 2024☆33Updated last year
- The official implementation of paper "Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval" accepted by NeurIPS…☆27Updated last year
- CLIP-Driven Fine-grained Text-Image Person Re-identification☆53Updated last year
- Pytorch implementation of "Test-time Adaptation for Cross-modal Retrieval with Query Shift".☆27Updated 7 months ago
- Multimodal Prompting with Missing Modalities for Visual Recognition, CVPR'23☆218Updated last year
- ☆27Updated last year
- [CVPR2024] Simple Semantic-Aided Few-Shot Learning☆51Updated last year
- Code for the paper "Image Clustering with External Guidance" (ICML 2024)☆63Updated last year
- Reliable Conflictive Multi-view Learning☆86Updated last year