research
∙
09/15/2019
Scaling Object Detection by Transferring Classification Weights
Large scale object detection datasets are constantly increasing their si...
share
research
∙
03/27/2018
Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification
Typical person re-identification (ReID) methods usually describe each pe...
research
∙
01/29/2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
It is desirable to train convolutional networks (CNNs) to run more effic...
research
∙
11/17/2016
DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows
Deluge Networks (DelugeNets) are deep neural networks which efficiently ...
research
∙
04/14/2016
Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle
Visual representation is crucial for a visual tracking method's performa...
research
∙
04/12/2016
Recurrent Attentional Networks for Saliency Detection
Convolutional-deconvolution networks can be adopted to perform end-to-en...
research
∙
12/22/2015