tmllab / 2024_ICML_DICLLinks
☆18Updated last year
Alternatives and similar repositories for 2024_ICML_DICL
Users that are interested in 2024_ICML_DICL are comparing it to the libraries listed below
Sorting:
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆44Updated 9 months ago
- [NeurIPS 2023] Generalized Logit Adjustment☆38Updated last year
- Official pytorch implementation of "RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language…☆13Updated 9 months ago
- [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…☆82Updated 7 months ago
- The PyTorch implementation for "DEAL: Disentangle and Localize Concept-level Explanations for VLMs" (ECCV 2024 Strong Double Blind)☆20Updated 10 months ago
- [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention☆47Updated last year
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 10 months ago
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆28Updated 11 months ago
- IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models☆59Updated last year
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆38Updated 11 months ago
- Code for ICLR 2025 Paper: Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs☆21Updated 4 months ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated 2 years ago
- [CVPR2025] The implementation of the paper "OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary".☆18Updated 4 months ago
- [ICLR 2025] Code for Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models☆21Updated 5 months ago
- [ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"☆24Updated 2 years ago
- [NeurIPS 2024] "Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection"☆14Updated 11 months ago
- Instruction Tuning in Continual Learning paradigm☆59Updated 8 months ago
- ECCV2024: Adversarial Prompt Tuning for Vision-Language Models☆28Updated 10 months ago
- [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning☆65Updated 2 weeks ago
- [NAACL 2025 Main] Official Implementation of MLLMU-Bench☆34Updated 6 months ago
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models☆53Updated 9 months ago
- ☆13Updated 3 years ago
- [ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"☆56Updated last year
- Official code base for "Long-Tailed Diffusion Models With Oriented Calibration" ICLR2024☆14Updated last year
- PyTorch code for "Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training"☆36Updated last year
- ☆27Updated last year
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆112Updated 3 weeks ago
- CVPR 2025 - R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning☆16Updated last month
- 🔎Official code for our paper: "VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation".☆44Updated 6 months ago
- Code for our ICML'24 on multimodal dataset distillation☆39Updated 11 months ago