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cs.CV2024
Associate Everything Detected: Facilitating Tracking-by-Detection to the Unknown
Zimeng Fang, Chao Liang, Xue Zhou +2
Multi-object tracking (MOT) emerges as a pivotal and highly promising branch in the field of computer vision. Classical closed-vocabulary MOT (CV-MOT) methods aim to track objects…
cs.CV2024
CLASH: Complementary Learning with Neural Architecture Search for Gait Recognition
Huanzhang Dou, Pengyi Zhang, Yuhan Zhao +2
Gait recognition, which aims at identifying individuals by their walking patterns, has achieved great success based on silhouette. The binary silhouette sequence encodes the walkin…
cs.CV2023
Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection
Longrong Yang, Xianpan Zhou, Xuewei Li +5
Knowledge distillation (KD) has shown potential for learning compact models in dense object detection. However, the commonly used softmax-based distillation ignores the absolute cl…