activity
20162021
most citedReverse Attention for Salient Object Detection

57 citations · 64 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Exploring the Intrinsic Probability Distribution for Hyperspectral Anomaly Detection

Shaoqi Yu, Xiaorun Li, Shuhan Chen +1

In recent years, neural network-based anomaly detection methods have attracted considerable attention in the hyperspectral remote sensing domain due to the powerful reconstruction…

cs.CV2020

Multiple Infrared Small Targets Detection based on Hierarchical Maximal Entropy Random Walk

Chaoqun Xia, Xiaorun Li, Liaoying Zhao +1

The technique of detecting multiple dim and small targets with low signal-to-clutter ratios (SCR) is very important for infrared search and tracking systems. In this paper, we esta…

cs.CV2020★ 7 cited

Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection

Shuhan Chen, Yun Fu

In this paper, we aim to develop an efficient and compact deep network for RGB-D salient object detection, where the depth image provides complementary information to boost perform…

cs.CV2018★ 57 cited

Reverse Attention for Salient Object Detection

Shuhan Chen, Xiuli Tan, Ben Wang +1

Benefit from the quick development of deep learning techniques, salient object detection has achieved remarkable progresses recently. However, there still exists following two majo…

cs.CV2016

Saliency Detection for Improving Object Proposals

Shuhan Chen, Jindong Li, Xuelong Hu +1

Object proposals greatly benefit object detection task in recent state-of-the-art works. However, the existing object proposals usually have low localization accuracy at high inter…