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 ...

Abstract: To address the problems of relying on electronic repositories and being vulnerable to network influence in obtaining key information of literature in mainstream literature management ...

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 ...