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cs.CV2026
Weight Group-wise Post-Training Quantization for Medical Foundation Model
Yineng Chen, Peng Huang, Aozhong Zhang +9
Foundation models have achieved remarkable results in medical image analysis. However, its large network architecture and high computational complexity significantly impact inferen…
cs.CV2024
Prior Knowledge Distillation Network for Face Super-Resolution
Qiu Yang, Xiao Sun, Xin-yu Li +5
The purpose of face super-resolution (FSR) is to reconstruct high-resolution (HR) face images from low-resolution (LR) inputs. With the continuous advancement of deep learning tech…
cs.CV2024
Benchmarking the Robustness of UAV Tracking Against Common Corruptions
Xiaoqiong Liu, Yunhe Feng, Shu Hu +2
The robustness of unmanned aerial vehicle (UAV) tracking is crucial in many tasks like surveillance and robotics. Despite its importance, little attention is paid to the performanc…