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
☆66Updated 2 weeks ago
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…☆65Updated 3 weeks ago
- PyTorch implementation for Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining (TIP 2024)☆17Updated last year
- Cross-modal Active Complementary Learning with Self-refining Correspondence (NeurIPS 2023, Pytorch Code)☆16Updated last year
- ☆10Updated last year
- ☆74Updated last year
- The code of the paper "Negative Pre-aware for Noisy Cross-modal Matching" in AAAI 2024.☆22Updated last year
- Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval ( ACM Multimedia 2022, Pytorch Code)☆43Updated last year
- ☆27Updated 2 years ago
- Pytorch Implementation of LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification☆25Updated 2 months ago
- Cross-Modal Retrieval with Partially Mismatched Pairs (IEEE TPAMI 2023, PyTorch Code)☆20Updated last year
- ☆34Updated last year
- Source code of our AAAI 2024 paper "Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval"☆42Updated last year
- The code of MGCC: Text-based Occluded Person Re-identification via Multi-Granularity Contrastive Consistency Learning☆18Updated 4 months ago
- CLIP-Driven Fine-grained Text-Image Person Re-identification☆49Updated last year
- Code for Modeling Thousands of Human Annotators for Generalizable Text-to-Image Person Re-identification (CVPR2025)☆22Updated last month
- Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".☆35Updated 6 months ago
- Noisy-Correspondence Learning for Text-to-Image Person Re-identification (CVPR 2024 Pytorch Code)☆88Updated 6 months ago
- ☆13Updated last year
- 【ICLR 2024, Spotlight】Sentence-level Prompts Benefit Composed Image Retrieval☆83Updated 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
- Unsupervised Contrastive Cross-modal Hashing (IEEE TPAMI 2023, PyTorch Code)☆61Updated last year
- [TIP2023] The code of “Plug-and-Play Regulators for Image-Text Matching”☆33Updated last year
- PyTorch implementation for Robust Contrastive Cross-modal Hashing with Noisy Labels. (ACM Multimedia 2024).☆11Updated 8 months ago
- Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.☆45Updated 8 months ago
- [ToMM2023] - AMC: Adaptive Multi-expert Collaborative Network for Text-guided Image Retrieval☆19Updated 9 months ago
- USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval, TIP 2024☆32Updated last week
- [ACM MM 2024] Pytorch Code for the paper "Robust Variational Contrastive Learning for Partially View-unaligned Clustering"☆12Updated 5 months ago
- (CVPR2024 Highlight) Novel Class Discovery for Ultra-Fine-Grained Visual Categorization (UFG-NCD)☆19Updated 11 months ago
- Unofficial Implementation to CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification [ICCV'23]☆29Updated last year
- ☆24Updated last year