Self Paced Deep Learning for Weakly Supervised Object Detection
نویسندگان
چکیده
منابع مشابه
Self Paced Deep Learning for Weakly Supervised Object Detection
In a weakly-supervised scenario, object detectors need to be trained using image-level annotation only. Since bounding-box-level ground truth is not available, mostof the solutions proposed so far are based on an iterative approach in which theclassifier, obtained in the previous iteration, is used to predict the objects’ positionswhich are used for training in the current itera...
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Weakly-supervised object detection (WOD) is a challenging problems in computer vision. The key problem is to simultaneously infer the exact object locations in the training images and train the object detectors, given only the training images with weak image-level labels. Intuitively, by simulating the selective attention mechanism of human visual system, saliency detection technique can select...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2019
ISSN: 0162-8828,2160-9292,1939-3539
DOI: 10.1109/tpami.2018.2804907