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"
  ☆58Updated last year
• xu5zhao / BiCro
  ☆27Updated 2 years ago
• ThomasWangY / 2024-AAAI-HPT
  Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (AAAI 2024)
  ☆73Updated last year
• QinYang79 / DECL
  Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval ( ACM Multimedia 2022, Pytorch Code)
  ☆48Updated last year
• XLearning-SCU / 2021-NeurIPS-NCR
  ☆80Updated 2 years ago
• Pter61 / context-i2w
  Context-I2W: Mapping Images to Context-dependent words for Accurate Zero-Shot Composed Image Retrieval [AAAI 2024 Oral]
  ☆56Updated 8 months ago
• IIGROUP / MAP
  ☆37Updated 3 years ago
• ZhangXu0963 / NPC
  The code of the paper "Negative Pre-aware for Noisy Cross-modal Matching" in AAAI 2024.
  ☆29Updated 7 months ago
• chunmeifeng / SPRC
  【ICLR 2024, Spotlight】Sentence-level Prompts Benefit Composed Image Retrieval
  ☆92Updated last year
• hhc1997 / L2RM
  ☆36Updated last year
• CharlesNeilWilliams / TME
  [CVPR 2025] Official Pytorch implementation of "Learning with Noisy Triplet Correspondence for Composed Image Retrieval".
  ☆22Updated 8 months ago
• haokunwen / DQU-CIR
  [SIGIR 2024] - Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval
  ☆44Updated last year
• huangmozhi9527 / GMMFormer
  [AAAI 2024] GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval
  ☆20Updated last year
• ailab-kyunghee / CM2_DVC
  [CVPR 2024] Do you remember? Dense Video Captioning with Cross-Modal Memory Retrieval
  ☆64Updated last year
• joeyz0z / MeaCap
  (CVPR2024) MeaCap: Memory-Augmented Zero-shot Image Captioning
  ☆55Updated last year
• TalalWasim / Vita-CLIP
  Official repository for "Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting" [CVPR 2023]
  ☆127Updated 2 years ago
• zhangxi1997 / VQACL
  VQACL: A Novel Visual Question Answering Continual Learning Setting (CVPR'23)
  ☆44Updated last year
• zhangy0822 / USER
  USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval, TIP 2024
  ☆33Updated 7 months 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…
  ☆77Updated 3 months ago
• taewhankim / VIPCAP
  ☆14Updated last year
• XLearning-SCU / 2024-TIP-CREAM
  PyTorch implementation for Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining (TIP 2024)
  ☆21Updated last year
• lerogo / aaai24_itr_cusa
  Source code of our AAAI 2024 paper "Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval"
  ☆55Updated last year
• BeierZhu / Prompt-align
  [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning
  ☆167Updated 2 years ago
• jpthu17 / HBI
  [CVPR 2023 Highlight & TPAMI] Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning
  ☆126Updated last year
• vkhoi / cora_cvpr24
  ☆27Updated last year
• hhc1997 / MSCN
  ☆13Updated last year
• May2333 / FDCA
  [ICLR 2025] This repo is the official implementation of our paper "Learning Fine-Grained Representations through Textual Token Disentangl…
  ☆22Updated 6 months ago
• sunxm2357 / DIME-FM
  Implementation of "DIME-FM: DIstilling Multimodal and Efficient Foundation Models"
  ☆15Updated 2 years ago
• QinYang79 / CRCL
  Cross-modal Active Complementary Learning with Self-refining Correspondence (NeurIPS 2023, Pytorch Code)
  ☆15Updated last year
• kaipengfang / ProS
  ☆20Updated last year