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Recently, the community of style transfer is trying to incorporate semantic information into traditional system. This practice achieves better perceptual results by transferring the style between semantically-corresponding regions. Yet, few efforts are invested to address the computation bottleneck of back-propagation. In this paper, we propose a new framework for fast semantic style transfer. Our...
We present RON, an efficient and effective framework for generic object detection. Our motivation is to smartly associate the best of the region-based (e.g., Faster R-CNN) and region-free (e.g., SSD) methodologies. Under fully convolutional architecture, RON mainly focuses on two fundamental problems: (a) multi-scale object localization and (b) negative sample mining. To address (a), we design the...
Image semantic retrieval usually involves two steps, namely image annotation and annotation-based retrieval. Although there is a rich literature on image auto-annotation, little focuses on bridging the gap between annotation and retrieval. In fact, the efficiency of an image semantic retrieval system depends not only on the precision of annotation but also the way to use the annotation result in the...
Because of its robustness, user friendliness, low cost and high accuracy, palmprint recognition has been widely studied in the past ten years. Various feature extraction and matching schemes have been proposed, among which the Gabor phase and orientation codes are very effective and efficient for palmprint representation and matching. Although these methods are adopted in the online palmprint recognition...
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