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pro vyhledávání: '"Gao, Ruopeng"'
In Multiple Object Tracking (MOT), tracking-by-detection methods have stood the test for a long time, which split the process into two parts according to the definition: object detection and association. They leverage robust single-frame detectors an
Externí odkaz:
http://arxiv.org/abs/2403.16848
Autor:
Gao, Ruopeng, Wang, Limin
As a video task, Multiple Object Tracking (MOT) is expected to capture temporal information of targets effectively. Unfortunately, most existing methods only explicitly exploit the object features between adjacent frames, while lacking the capacity t
Externí odkaz:
http://arxiv.org/abs/2307.15700
Multimodal transformer exhibits high capacity and flexibility to align image and text for visual grounding. However, the existing encoder-only grounding framework (e.g., TransVG) suffers from heavy computation due to the self-attention operation with
Externí odkaz:
http://arxiv.org/abs/2209.13959
Akademický článek
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