2 papers
cs.CV2026
SurgCheck: Do Vision-Language Models Really Look at Images in Surgical VQA?
Jongmin Shin, Ka Young Kim, Eunki Cho +2
Purpose: Vision-language models (VLMs) have shown promising performance in surgical visual question answering (VQA). However, existing surgical VQA datasets often contain linguisti…
cs.CV2026
FedDAP: Domain-Aware Prototype Learning for Federated Learning under Domain Shift
Huy Q. Le, Loc X. Nguyen, Yu Qiao +3
Federated Learning (FL) enables decentralized model training across multiple clients without exposing private data, making it ideal for privacy-sensitive applications. However, in…