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cs.CV2026
Astra: a generalizable report generation foundation model for 3D computed tomography
Zhuhao Wang, Fang Chen, Chaohui Yu +19
Interpreting computed tomography (CT) requires review of hundreds of volumetric slices and remains time-intensive and expertise-dependent. Automated CT report generation offers a p…
cs.CV2023
DMT: Comprehensive Distillation with Multiple Self-supervised Teachers
Yuang Liu, Jing Wang, Qiang Zhou +3
Numerous self-supervised learning paradigms, such as contrastive learning and masked image modeling, have been proposed to acquire powerful and general representations from unlabel…
cs.CV2023
Language-guided Few-shot Semantic Segmentation
Jing Wang, Yuang Liu, Qiang Zhou +1
Few-shot learning is a promising way for reducing the label cost in new categories adaptation with the guidance of a small, well labeled support set. But for few-shot semantic segm…