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Danfeng Qin

2 accepted papers

2020

Improving Object Detection with Selective Self-Supervised Self-Training

ECCV 2020poster

We study how to leverage Web images to augment human-curated object detection datasets. Our approach is two-pronged. On the one hand, we retrieve Web images by image-to-image search, which incurs less domain shift from the curated data than other search methods. The Web images are diverse, supplying…

Cited by 91SourcePDFScholar
2019

Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection

ICCV 2019poster

Learning to localize and name object instances is a fundamental problem in vision, but state-of-the-art approaches rely on expensive bounding box supervision. While weakly supervised detection (WSOD) methods relax the need for boxes to that of image-level annotations, even cheaper supervision is nat…

Cited by 61PDFcodeScholar