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cs.CV2026
PGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation
Tuan-Duc Nguyen, Anh-Tuan Mai, Duc-Trong Le
Segment Anything Model (SAM) has revolutionized promptable image segmentation with strong zero-shot generalization. However, its performance degrades substantially under real-world…
cs.CV2026
FR-DETR: Frequency and Recurrent Feature Refinement for Robust Object Detection under Adverse Weather
Tuan-Duc Nguyen, Duc-Trong Le
Object detection under adverse weather remains challenging due to severe visual degradations and domain shifts. Existing enhancer-based approaches attempt to improve detection by c…
cs.CV2026
CLEAR: Causal Learning Framework For Robust Histopathology Tumor Detection Under Out-Of-Distribution Shifts
Kieu-Anh Truong Thi, Huy-Hieu Pham, Duc-Trong Le
Domain shift in histopathology, often caused by differences in acquisition processes or data sources, poses a major challenge to the generalization ability of deep learning models.…