XLearning-SCU / 2024-TIP-CREAMLinks
PyTorch implementation for Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining (TIP 2024)
☆16Updated last year
Alternatives and similar repositories for 2024-TIP-CREAM
Users that are interested in 2024-TIP-CREAM are comparing it to the libraries listed below
Sorting:
- The code of the paper "Negative Pre-aware for Noisy Cross-modal Matching" in AAAI 2024.☆22Updated last year
- 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…☆61Updated 2 weeks ago
- Cross-modal Active Complementary Learning with Self-refining Correspondence (NeurIPS 2023, Pytorch Code)☆16Updated last year
- ☆10Updated last year
- Code for Modeling Thousands of Human Annotators for Generalizable Text-to-Image Person Re-identification (CVPR2025)☆17Updated 3 weeks ago
- ☆34Updated last year
- [ACM MM 2024] Pytorch Code for the paper "Robust Variational Contrastive Learning for Partially View-unaligned Clustering"☆12Updated 4 months ago
- 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…☆64Updated last week
- Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval ( ACM Multimedia 2022, Pytorch Code)☆43Updated last year
- Pytorch Implementation of LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification☆23Updated last month
- Source code of our AAAI 2024 paper "Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval"☆41Updated last year
- PyTorch implementation for Robust Contrastive Cross-modal Hashing with Noisy Labels. (ACM Multimedia 2024).☆10Updated 7 months ago
- Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching (ACM SIGIR 2024, Pytorch Code)☆23Updated 3 months ago
- Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification (CVPR 2025 Pytorch Code)☆15Updated last month
- The code of MGCC: Text-based Occluded Person Re-identification via Multi-Granularity Contrastive Consistency Learning☆17Updated 3 months ago
- ☆27Updated 2 years ago
- CLIP-Driven Fine-grained Text-Image Person Re-identification☆49Updated last year
- The official implementation of paper "Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval" accepted by NeurIPS…☆26Updated last year
- [TIP2023] The code of “Plug-and-Play Regulators for Image-Text Matching”☆33Updated last year
- ☆74Updated last year
- USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval, TIP 2024☆32Updated last year
- Cross-Modal Retrieval with Partially Mismatched Pairs (IEEE TPAMI 2023, PyTorch Code)☆20Updated last year
- Composed Person Retrieval (CPR) is a new cross-modal retrieval task that aims to identify individuals in large-scale person image databas…☆24Updated last week
- Noisy-Correspondence Learning for Text-to-Image Person Re-identification (CVPR 2024 Pytorch Code)☆86Updated 6 months ago
- ☆25Updated 9 months ago
- 【ICLR 2024, Spotlight】Sentence-level Prompts Benefit Composed Image Retrieval☆83Updated last year
- Code for ECCV 2022 Workshop paper "See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval"☆21Updated 2 years ago
- Pytorch implementation of "Test-time Adaptation for Cross-modal Retrieval with Query Shift".☆16Updated 2 months ago
- ☆12Updated 5 months ago
- Noise of Web (NoW) is a challenging noisy correspondence learning (NCL) benchmark containing 100K image-text pairs for robust image-text …☆12Updated 6 months ago