Alternatives and similar repositories for PAU

Users that are interested in PAU are comparing it to the libraries listed below

• tmlr-group / WCA
  [ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"
  ☆57Updated last year
• QinYang79 / DECL
  Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval ( ACM Multimedia 2022, Pytorch Code)
  ☆47Updated last year
• ThomasWangY / 2024-AAAI-HPT
  Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (AAAI 2024)
  ☆73Updated 10 months ago
• xu5zhao / BiCro
  ☆27Updated 2 years ago
• ZhangXu0963 / NPC
  The code of the paper "Negative Pre-aware for Noisy Cross-modal Matching" in AAAI 2024.
  ☆28Updated 5 months ago
• huangmozhi9527 / GMMFormer
  [AAAI 2024] GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval
  ☆20Updated last year
• XLearning-SCU / 2021-NeurIPS-NCR
  ☆79Updated 2 years ago
• chunmeifeng / SPRC
  【ICLR 2024, Spotlight】Sentence-level Prompts Benefit Composed Image Retrieval
  ☆92Updated last year
• IIGROUP / MAP
  ☆37Updated 3 years ago
• zhangy0822 / USER
  USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval, TIP 2024
  ☆33Updated 6 months ago
• ailab-kyunghee / CM2_DVC
  [CVPR 2024] Do you remember? Dense Video Captioning with Cross-Modal Memory Retrieval
  ☆64Updated last year
• taewhankim / VIPCAP
  ☆14Updated last year
• Pter61 / context-i2w
  Context-I2W: Mapping Images to Context-dependent words for Accurate Zero-Shot Composed Image Retrieval [AAAI 2024 Oral]
  ☆55Updated 7 months ago
• lerogo / aaai24_itr_cusa
  Source code of our AAAI 2024 paper "Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval"
  ☆52Updated last year
• joeyz0z / MeaCap
  (CVPR2024) MeaCap: Memory-Augmented Zero-shot Image Captioning
  ☆53Updated last year
• haokunwen / DQU-CIR
  [SIGIR 2024] - Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval
  ☆43Updated last year
• CharlesNeilWilliams / TME
  [CVPR 2025] Official Pytorch implementation of "Learning with Noisy Triplet Correspondence for Composed Image Retrieval".
  ☆22Updated 6 months ago
• zhangxi1997 / VQACL
  VQACL: A Novel Visual Question Answering Continual Learning Setting (CVPR'23)
  ☆43Updated last year
• hhc1997 / L2RM
  ☆36Updated last year
• GingL / CMPA
  ☆17Updated 2 years ago
• QinYang79 / 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…
  ☆75Updated last month
• lezhang7 / Enhance-FineGrained
  [CVPR 2024] Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding
  ☆53Updated 8 months ago
• htyao89 / KgCoOp
  ☆105Updated 2 years ago
• gaojingsheng / LAMM
  Code and Dataset for the paper "LAMM: Label Alignment for Multi-Modal Prompt Learning" AAAI 2024
  ☆33Updated last year
• hhc1997 / MSCN
  ☆12Updated last year
• XLearning-SCU / 2024-TIP-CREAM
  PyTorch implementation for Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining (TIP 2024)
  ☆19Updated last year
• zhangce01 / DPE-CLIP
  [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
  ☆45Updated 9 months ago
• meetdavidwan / crg
  PyTorch code for "Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training"
  ☆39Updated last year
• KevinLight831 / CTP
  [ICCV2023] - CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation
  ☆38Updated last year
• vkhoi / cora_cvpr24
  ☆27Updated last year