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Part-Stacked CNN for Fine-Grained Visual Categorization
Shaoli Huang, Zhe Xu, Dacheng Tao +1
In the context of fine-grained visual categorization, the ability to interpret models as human-understandable visual manuals is sometimes as important as achieving high classificat…
An Experimental Survey on Correlation Filter-based Tracking
Zhe Chen, Zhibin Hong, Dacheng Tao
Over these years, Correlation Filter-based Trackers (CFTs) have aroused increasing interests in the field of visual object tracking, and have achieved extremely compelling results…
A New Low-Rank Tensor Model for Video Completion
Wenrui Hu, Dacheng Tao, Wensheng Zhang +2
In this paper, we propose a new low-rank tensor model based on the circulant algebra, namely, twist tensor nuclear norm or t-TNN for short. The twist tensor denotes a 3-way tensor…
Robust Face Recognition via Multimodal Deep Face Representation
Changxing Ding, Dacheng Tao
Face images appeared in multimedia applications, e.g., social networks and digital entertainment, usually exhibit dramatic pose, illumination, and expression variations, resulting…
DropSample: A New Training Method to Enhance Deep Convolutional Neural Networks for Large-Scale Unconstrained Handwritten Chinese Character Recognition
Weixin Yang, Lianwen Jin, Dacheng Tao +2
Inspired by the theory of Leitners learning box from the field of psychology, we propose DropSample, a new method for training deep convolutional neural networks (DCNNs), and apply…
Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction
Yong Luo, Dacheng Tao, Yonggang Wen +2
Canonical correlation analysis (CCA) has proven an effective tool for two-view dimension reduction due to its profound theoretical foundation and success in practical applications.…