1.3k citations · 1.9k across the 46 of their papers we have counts for
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Parameter-Free Spatial Attention Network for Person Re-Identification
Haoran Wang, Yue Fan, Zexin Wang +2
Global average pooling (GAP) allows to localize discriminative information for recognition [40]. While GAP helps the convolution neural network to attend to the most discriminative…
ASVRG: Accelerated Proximal SVRG
Fanhua Shang, Licheng Jiao, Kaiwen Zhou +3
This paper proposes an accelerated proximal stochastic variance reduced gradient (ASVRG) method, in which we design a simple and effective momentum acceleration trick. Unlike most…
Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification
Yan Ju, Lingling Li, Licheng Jiao +3
Due to the limited amount and imbalanced classes of labeled training data, the conventional supervised learning can not ensure the discrimination of the learned feature for hypersp…
Deep Adaptive Proposal Network for Object Detection in Optical Remote Sensing Images
Lin Cheng, Xu Liu, Lingling Li +2
Object detection is a fundamental and challenging problem in aerial and satellite image analysis. More recently, a two-stage detector Faster R-CNN is proposed and demonstrated to b…
Polarimetric Convolutional Network for PolSAR Image Classification
Xu Liu, Licheng Jiao, Xu Tang +2
The approaches for analyzing the polarimetric scattering matrix of polarimetric synthetic aperture radar (PolSAR) data have always been the focus of PolSAR image classification. Ge…
VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning
Fanhua Shang, Kaiwen Zhou, Hongying Liu +5
In this paper, we propose a simple variant of the original SVRG, called variance reduced stochastic gradient descent (VR-SGD). Unlike the choices of snapshot and starting points in…