adarobustness / adaptation_robustness
Evaluate robustness of adaptation methods on large vision-language models
☆17Updated last year
Related projects ⓘ
Alternatives and complementary repositories for adaptation_robustness
- ☆38Updated last year
- Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets☆54Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆51Updated last year
- Instruction Tuning in Continual Learning paradigm☆26Updated 4 months ago
- ECCV2024: Adversarial Prompt Tuning for Vision-Language Models☆22Updated this week
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆41Updated 4 months ago
- Official PyTorch implementation of "CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning" @ ICCV 2023☆29Updated 10 months ago
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆20Updated 3 weeks ago
- ☆26Updated 9 months ago
- ☆47Updated 9 months ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆44Updated 2 weeks ago
- ☆12Updated 2 months ago
- [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning☆15Updated last year
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆53Updated last year
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆37Updated 6 months ago
- Code for paper "AGLA: Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention"☆16Updated 4 months ago
- [ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"☆22Updated last year
- The official repository for paper "MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance"☆31Updated 7 months ago
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models☆37Updated last week
- [ECCV'24 Oral] The official GitHub page for ''Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking …☆20Updated last month
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆20Updated last month
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆145Updated 2 years ago
- ☆17Updated 4 months ago
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆106Updated 2 years ago
- ☆21Updated 5 months ago
- Repository for the paper: Teaching Structured Vision & Language Concepts to Vision & Language Models☆45Updated last year
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆67Updated 7 months ago
- ICCV 2023 - AdaptGuard: Defending Against Universal Attacks for Model Adaptation☆11Updated 11 months ago
- Domain Generalization through Distilling CLIP with Language Guidance☆24Updated last year
- [DMLR 2024] Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift☆33Updated 9 months ago