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5 papers · 2 filters
Transform-Invariant Convolutional Neural Networks for Image Classification and Search
Xu Shen, Xinmei Tian, Anfeng He +2
Convolutional neural networks (CNNs) have achieved state-of-the-art results on many visual recognition tasks. However, current CNN models still exhibit a poor ability to be invaria…
Slow Feature Analysis for Human Action Recognition
Zhang Zhang, Dacheng Tao
Slow Feature Analysis (SFA) extracts slowly varying features from a quickly varying input signal. It has been successfully applied to modeling the visual receptive fields of the co…
BIT: Biologically Inspired Tracker
Bolun Cai, Xiangmin Xu, Xiaofen Xing +3
Visual tracking is challenging due to image variations caused by various factors, such as object deformation, scale change, illumination change and occlusion. Given the superior tr…
Coupled Learning for Facial Deblur
Dayong Tian, Dacheng Tao
Blur in facial images significantly impedes the efficiency of recognition approaches. However, most existing blind deconvolution methods cannot generate satisfactory results due to…
Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images
Lefei Zhang, Qian Zhang, Bo Du +3
In hyperspectral remote sensing data mining, it is important to take into account of both spectral and spatial information, such as the spectral signature, texture feature and morp…