Weakly Supervised Object Detection via Object-Specific Pixel Gradient.

IEEE Transactions on Neural Networks and Learning Systems(2018)

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摘要
Most existing object detection algorithms are trained based upon a set of fully annotated object regions or bounding boxes, which are typically labor-intensive. On the contrary, nowadays there is a significant amount of image-level annotations cheaply available on the Internet. It is hence a natural thought to explore such “weak” supervision to benefit the training of object detectors. In this pap...
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关键词
Detectors,Object detection,Proposals,Training,Convolutional neural networks,Visualization,Learning systems
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