Alternatives and similar repositories for Awesome-Noisy-Correspondence

Users that are interested in Awesome-Noisy-Correspondence are comparing it to the libraries listed below

• XLearning-SCU / Awesome-Noisy-Correspondence
  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…
  ☆104Updated 2 weeks ago
• QinYang79 / CRCL
  Cross-modal Active Complementary Learning with Self-refining Correspondence (NeurIPS 2023, Pytorch Code)
  ☆16Updated last year
• ZhangXu0963 / NPC
  The code of the paper "Negative Pre-aware for Noisy Cross-modal Matching" in AAAI 2024.
  ☆23Updated 4 months ago
• XLearning-SCU / 2021-NeurIPS-NCR
  ☆77Updated 2 years ago
• QinYang79 / DECL
  Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval ( ACM Multimedia 2022, Pytorch Code)
  ☆47Updated last year
• hhc1997 / MSCN
  ☆12Updated last year
• qxzha / UGNCL
  Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching (ACM SIGIR 2024, Pytorch Code)
  ☆24Updated 9 months ago
• XLearning-SCU / 2024-TIP-CREAM
  PyTorch implementation for Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining (TIP 2024)
  ☆17Updated last year
• shuanglinyan / CFine
  CLIP-Driven Fine-grained Text-Image Person Re-identification
  ☆57Updated last year
• Yanyi-Zhang / Awesome-Compositional-Zero-Shot
  ☆77Updated 3 weeks ago
• hhc1997 / L2RM
  ☆35Updated last year
• xu5zhao / BiCro
  ☆27Updated 2 years ago
• penghu-cs / RCL
  Cross-Modal Retrieval with Partially Mismatched Pairs (IEEE TPAMI 2023, PyTorch Code)
  ☆22Updated 2 years ago
• lerogo / aaai24_itr_cusa
  Source code of our AAAI 2024 paper "Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval"
  ☆49Updated last year
• littlexinyi / MGCC
  The code of MGCC: Text-based Occluded Person Re-identification via Multi-Granularity Contrastive Consistency Learning
  ☆19Updated 8 months ago
• ZiChao111 / FTI4CIR
  Codes of the Fine-grained Textual Inversion network for Zero-Shot Composed Image Retrieval
  ☆25Updated 7 months ago
• bighuang624 / Troika
  [CVPR 2024] Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning
  ☆27Updated 8 months ago
• ThomasWangY / 2024-AAAI-HPT
  Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (AAAI 2024)
  ☆73Updated 9 months ago
• MengyuanChen21 / NeurIPS2024-CSP
  [NeurIPS 2024] Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
  ☆39Updated last year
• vkhoi / cora_cvpr24
  ☆26Updated last year
• kkzhang95 / Awesome-Composed-Multi-modal-Retrieval
  A comprehensive survey of Composed Multi-modal Retrieval (CMR), including Composed Image Retrieval (CIR) and Composed Video Retrieval (CV…
  ☆68Updated 3 months ago
• ppanzx / CHAN
  ☆51Updated 2 years ago
• CFM-MSG / Code-AUL
  ☆14Updated last year
• YiLunLee / missing_aware_prompts
  Multimodal Prompting with Missing Modalities for Visual Recognition, CVPR'23
  ☆223Updated last year
• LonganWANG-cs / NRCH
  PyTorch implementation for Robust Contrastive Cross-modal Hashing with Noisy Labels. (ACM Multimedia 2024).
  ☆15Updated last year
• He-Changhao / 2024-MM-VITAL
  [ACM MM 2024] Pytorch Code for the paper "Robust Variational Contrastive Learning for Partially View-unaligned Clustering"
  ☆13Updated 10 months ago
• AAA-Zheng / Image-Text-Matching-Summary
  Summary of Related Research on Image-Text Matching
  ☆72Updated 2 years ago
• zhangy0822 / USER
  USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval, TIP 2024
  ☆33Updated 5 months ago
• leolee99 / PAU
  The official implementation of paper "Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval" accepted by NeurIPS…
  ☆27Updated last year
• CharlesNeilWilliams / TME
  [CVPR 2025] Official Pytorch implementation of "Learning with Noisy Triplet Correspondence for Composed Image Retrieval".
  ☆18Updated 5 months ago