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SIGMA Lab @ USYD
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Welcome to the homepage of the SIGMA Lab at the Univeristy of Sydney
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SIGMA Lab @ USYD SIGMA Lab Nav Home Publication People Recruitment Resources Videos FYP Student Demo SIGMA Lab S ydney I ntelli G ent M ultimedi A Laboratory (MMLab@Sydney) The University of Sydney ecoNAS Traditional neural architecture search will consume plenty of resources to evaluate candidate networks. Based on our exploration of efficient and reliable proxy tasks, we achieve an impressive 400x time reduction for evolutionary algorithm yet get better results. Visual Object Tracking(VOT) Visual object tracking aims to successively track the object in a video with target object being identified in the initial frame. We are now working on this problem and the related topic multiple object tracking (MOT). Accurate Monocular 3D Object Detection we propose a monocular 3D object de- tection framework in the domain of autonomous driving. Unlike previous image-based methods which focus on RGB feature extracted from 2D images Cheaper Pre-training...
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