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: In this article, two new models, namely granulated RCNN (G-RCNN) and multi-class deep SORT (MCD-SORT), for object detection and tracking, respectively from videos are developed. Object ...
Abstract: Recognizing the physical properties of deformable objects poses great challenges to the density and sensitivity of tactile sensors. Monolithic active layer inevitably introduces large ...
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