Evaluate robustness of adaptation methods on large vision-language models
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Updated
Aug 23, 2023 - Shell
Evaluate robustness of adaptation methods on large vision-language models
Unofficial implementation for Sigmoid Loss for Language Image Pre-Training
Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation
VTC: Improving Video-Text Retrieval with User Comments
📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)
[KDD 2024] Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning
MICCAI 2024: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images
Multi-Aspect Vision Language Pretraining - CVPR2024
Code for ACL 2023 Oral Paper: ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning
Codes and Models for COSA: Concatenated Sample Pretrained Vision-Language Foundation Model
[NeurIPS 2023] Bootstrapping Vision-Language Learning with Decoupled Language Pre-training
Easy wrapper for inserting LoRA layers in CLIP.
A codebase for flexible and efficient Image Text Representation Alignment
Accelerating Vision-Language Pretraining with Free Language Modeling (CVPR 2023)
Official repository for "CLIP model is an Efficient Continual Learner".
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]
Demographic Bias of Vision-Language Foundation Models in Medical Imaging
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models
Recognize Any Regions
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