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A Dual-Network Progressive Approach to Weakly Supervised Object Detection
2017
Proceedings of the 2017 ACM on Multimedia Conference - MM '17
A major challenge that arises in Weakly Supervised Object Detection (WSOD) is that only image-level labels are available, whereas WSOD trains instance-level object detectors. A typical approach to WSOD is to 1) generate a series of region proposals for each image and assign the image-level label to all the proposals in that image; 2) train a classi er using all the proposals; and 3) use the classi er to select proposals with high con dence scores as the positive instances for another round of
doi:10.1145/3123266.3123455
dblp:conf/mm/DongMMY17
fatcat:uybobtsuqvg5bnv5ajqcqrfot4