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Abstract: The recent progress in object detection seeks to design more effective and dynamic label assignment strategies that automatically select training samples in a prediction-aware manner. In ...

Abstract: Deep learning-based object detection has driven the development of multi-object tracking (MOT). However, the existing MOT methods are mainly aimed at regular motion, which makes it difficult ...

Multi-Object Tracking (MOT) aims to detect and associate all desired objects across frames. Most methods accomplish the task by explicitly or implicitly leveraging strong cues (i.e., spatial and ...