1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation
Pengchen Liang, Haishan Huang, Bin Pu +7
Large-scale pre-trained models, such as Vision Foundation Models (VFMs), have demonstrated impressive performance across various downstream tasks by transferring generalized knowle…
eess.IV2025
Rapid Bone Scintigraphy Enhancement via Semantic Prior Distillation from Segment Anything Model
Pengchen Liang, Leijun Shi, Huiping Yao +9
Rapid bone scintigraphy is crucial for diagnosing skeletal disorders and detecting tumor metastases in children, as it shortens scan duration and reduces discomfort. However, accel…
cs.CV2023★ 1 cited
EA-KD: Entropy-based Adaptive Knowledge Distillation
Chi-Ping Su, Ching-Hsun Tseng, Bin Pu +4
Knowledge distillation (KD) enables a smaller "student" model to mimic a larger "teacher" model by transferring knowledge from the teacher's output or features. However, most KD me…