leolee99 / CLIP_ITMLinks
A simple pytorch implementation of baseline based-on CLIP for Image-text Matching.
☆15Updated 2 years ago
Alternatives and similar repositories for CLIP_ITM
Users that are interested in CLIP_ITM are comparing it to the libraries listed below
Sorting:
- The official implementation of paper "Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval" accepted by NeurIPS…☆27Updated last year
- [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention☆50Updated last year
- Official pytorch implementation of "RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language…☆13Updated 10 months ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆49Updated last year
- [ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"☆57Updated last year
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆45Updated 10 months ago
- Hyperbolic Safety-Aware Vision-Language Models. CVPR 2025☆25Updated 7 months ago
- ☆13Updated 10 months ago
- 🔎Official code for our paper: "VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation".☆45Updated 7 months ago
- ☆11Updated last year
- ☆22Updated last year
- Implementation of "DIME-FM: DIstilling Multimodal and Efficient Foundation Models"☆15Updated 2 years ago
- [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning☆65Updated last month
- [ACL 2025 Findings] Official pytorch implementation of "Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vis…☆19Updated last year
- Code for paper: Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection☆46Updated 7 months ago
- HallE-Control: Controlling Object Hallucination in LMMs☆31Updated last year
- ☆20Updated last year
- [NeurIPS 2024] Mitigating Object Hallucination via Concentric Causal Attention☆63Updated 2 months ago
- 【ICLR 2024, Spotlight】Sentence-level Prompts Benefit Composed Image Retrieval☆90Updated last year
- [EMNLP 2024] IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning☆15Updated 5 months ago
- ☆11Updated last year
- [CVPR 2025] Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Att…☆51Updated last month
- 【NeurIPS 2024】The official code of paper "Automated Multi-level Preference for MLLMs"☆20Updated last year
- MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU☆50Updated 3 months ago
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆54Updated last year
- Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning☆22Updated last year
- ☆22Updated 6 months ago
- Code for ICLR 2025 Paper: Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs☆21Updated 6 months ago
- Context-I2W: Mapping Images to Context-dependent words for Accurate Zero-Shot Composed Image Retrieval [AAAI 2024 Oral]☆55Updated 5 months ago
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆118Updated last month