[TPAMI2024] Codes and Models for VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
Recognize Any Regions
Self-Supervised Visual-Tactile Representation Learning via Multimodal Contrastive Training
Freeze the Backbone: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training. Thesis of MSc AI degree at Imperial College London.
Mini-batch selective sampling for knowledge adaption of VLMs for mammography.
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