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
☆76Updated 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…☆69Updated last month
- PyTorch implementation for Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining (TIP 2024)☆17Updated last year
- ☆11Updated last year
- ☆74Updated last year
- The code of the paper "Negative Pre-aware for Noisy Cross-modal Matching" in AAAI 2024.☆22Updated last month
- Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval ( ACM Multimedia 2022, Pytorch Code)☆44Updated last year
- ☆27Updated 2 years ago
- Cross-modal Active Complementary Learning with Self-refining Correspondence (NeurIPS 2023, Pytorch Code)☆16Updated last year
- Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".☆37Updated 8 months ago
- ☆34Updated last year
- Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.☆47Updated last month
- Pytorch Implementation of LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification☆62Updated 3 weeks ago
- Source code of our AAAI 2024 paper "Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval"☆46Updated last year
- [ACM MM 2024] Pytorch Code for the paper "Robust Variational Contrastive Learning for Partially View-unaligned Clustering"☆12Updated 7 months ago
- CLIP-Driven Fine-grained Text-Image Person Re-identification☆52Updated last year
- Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (AAAI 2024)☆74Updated 6 months ago
- Code and Dataset for the paper "LAMM: Label Alignment for Multi-Modal Prompt Learning" AAAI 2024☆32Updated last year
- Cross-Modal Retrieval with Partially Mismatched Pairs (IEEE TPAMI 2023, PyTorch Code)☆21Updated last year
- Unsupervised Contrastive Cross-modal Hashing (IEEE TPAMI 2023, PyTorch Code)☆64Updated last year
- Pytorch implementation of "Test-time Adaptation for Cross-modal Retrieval with Query Shift".☆24Updated 5 months ago
- The repo for "Enhancing Multi-modal Cooperation via Sample-level Modality Valuation", CVPR 2024☆54Updated 9 months ago
- [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"☆107Updated 2 months ago
- Noisy-Correspondence Learning for Text-to-Image Person Re-identification (CVPR 2024 Pytorch Code)☆96Updated 8 months ago
- ☆25Updated last year
- ☆50Updated last year
- This repository is a collection of awesome things about vision prompts, including papers, code, etc.☆36Updated last year
- (CVPR2024 Highlight) Novel Class Discovery for Ultra-Fine-Grained Visual Categorization (UFG-NCD)☆20Updated last year
- [ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"☆55Updated 11 months ago
- ☆47Updated 2 months ago
- [TIP2023] The code of “Plug-and-Play Regulators for Image-Text Matching”☆33Updated last year