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20152021
most citedLow-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification

195 citations · 673 across the 20 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 10 cited

SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification

Yan Huang, Qiang Wu, JingSong Xu +1

Cross-domain person re-identification (re-ID) is challenging due to the bias between training and testing domains. We observe that if backgrounds in the training and testing datase…

cs.CV2019★ 195 cited

Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification

Huaxi Huang, Junjie Zhang, Jian Zhang +2

Deep neural networks have demonstrated advanced abilities on various visual classification tasks, which heavily rely on the large-scale training samples with annotated ground-truth…

cs.LG2019

Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points

Zhibin Li, Jian Zhang, Qiang Wu +3

Railway points are among the key components of railway infrastructure. As a part of signal equipment, points control the routes of trains at railway junctions, having a significant…

cs.CV2019★ 33 cited

Compare More Nuanced:Pairwise Alignment Bilinear Network For Few-shot Fine-grained Learning

Huaxi Huang, Junjie Zhang, Jian Zhang +2

The recognition ability of human beings is developed in a progressive way. Usually, children learn to discriminate various objects from coarse to fine-grained with limited supervis…

cs.CV2019★ 2 cited

Fast Registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement

Xiaoshui Huang, Lixin Fan, Qiang Wu +2

Many types of 3D acquisition sensors have emerged in recent years and point cloud has been widely used in many areas. Accurate and fast registration of cross-source 3D point clouds…