Alternatives and similar repositories for CLIP_ITM:

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

• leolee99 / PAU
  The official implementation of paper "Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval" accepted by NeurIPS…
  ☆23Updated 9 months ago
• ZhangXu0963 / NPC
  The code of the paper "Negative Pre-aware for Noisy Cross-modal Matching" in AAAI 2024.
  ☆23Updated 9 months ago
• LHL3341 / ContextBLIP
  ☆11Updated 9 months ago
• ZhangXu0963 / VSL
  The code of "Image-text Retrieval via Preserving Main Semantic of Vision" in ICME 2023.
  ☆13Updated last year
• Yuqifan1117 / HalluciDoctor
  HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)
  ☆44Updated 7 months ago
• Lackel / AGLA
  [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
  ☆22Updated 7 months ago
• Pter61 / context-i2w
  Context-I2W: Mapping Images to Context-dependent words for Accurate Zero-Shot Composed Image Retrieval [AAAI 2024 Oral]
  ☆46Updated 3 months ago
• ThomasWangY / 2024-AAAI-HPT
  Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (AAAI 2024)
  ☆67Updated last month
• IIGROUP / MAP
  ☆35Updated 2 years ago
• Qinyu-Allen-Zhao / LVLM-LP
  The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
  ☆25Updated 4 months ago
• sangminwoo / RITUAL
  Official pytorch implementation of "RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language…
  ☆10Updated 2 months ago
• chunmeifeng / SPRC
  【ICLR 2024, Spotlight】Sentence-level Prompts Benefit Composed Image Retrieval
  ☆76Updated 10 months ago
• jiazhen-code / PhD
  [CVPR25] A ChatGPT-Prompted Visual hallucination Evaluation Dataset, featuring over 100,000 data samples and four advanced evaluation mod…
  ☆12Updated this week
• Paranioar / RCAR
  [TIP2023] The code of “Plug-and-Play Regulators for Image-Text Matching”
  ☆31Updated 10 months ago
• tmlr-group / WCA
  [ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"
  ☆49Updated 6 months ago
• wenhuang2000 / VHTest
  VHTest
  ☆13Updated 4 months ago
• LuminosityX / FNE
  Implementation of our paper, Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination..
  ☆17Updated last year
• QinYang79 / CRCL
  Cross-modal Active Complementary Learning with Self-refining Correspondence (NeurIPS 2023, Pytorch Code)
  ☆15Updated 8 months ago
• zhangy0822 / USER
  USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval, TIP 2024
  ☆28Updated 11 months ago
• xu5zhao / BiCro
  ☆24Updated last year
• zhangxi1997 / VQACL
  VQACL: A Novel Visual Question Answering Continual Learning Setting (CVPR'23)
  ☆33Updated 11 months ago
• zackschen / CoIN
  Instruction Tuning in Continual Learning paradigm
  ☆41Updated 3 weeks ago
• yaolinli / DeCo
  ☆29Updated 7 months ago
• alipay / PC2-NoiseofWeb
  Noise of Web (NoW) is a challenging noisy correspondence learning (NCL) benchmark containing 100K image-text pairs for robust image-text …
  ☆12Updated 3 months ago
• pkunlp-icler / MIC
  MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU
  ☆46Updated last year
• vkhoi / cora_cvpr24
  ☆23Updated 6 months ago
• Jiaxuan-Li / EVCap
  [CVPR 2024] Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension
  ☆47Updated 10 months ago
• VL-Group / 2022-NeurIPS-DAA
  The code of the paper of "A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal Retrieval" accepted b…
  ☆19Updated last year