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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 ...
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 ...
Abstract: Multi-object tracking (MOT) plays a pivotal role in the field of autonomous driving, where the objective is to track multiple objects across consecutive video frames while maintaining their ...
Laura holds a Master's in Experimental Neuroscience and a Bachelor's in Biology from Imperial College London. Her areas of expertise include health, medicine, psychology, and neuroscience. Laura holds ...