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Cs-R-Fcn: Cross-Supervised Learning For Large-Scale Object Detection

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IEEE ICASSP 2020 Virtual Conference May 2020

Generic object detection is one of the most fundamental problems in computer vision, yet it is difficult to provide all the bounding-box-level annotations aiming at large-scale object detection for thousands of categories. In this paper, we present a nove

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Cs-R-Fcn: Cross-Supervised Learning For Large-Scale Object Detection

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Generic object detection is one of the most fundamental problems in computer vision, yet it is difficult to provide all the bounding-box-level annotations aiming at large-scale object detection for thousands of categories. In this paper, we present a nove