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: Due to the long distance and large-scale of satellite imaging, and the high complexity of depth convolutional neural network, common detectors cannot be directly applied to large-scale ...

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 ...