Exploring the Intrinsic Probability Distribution for Hyperspectral Anomaly Detection

no code implementations • 14 May 2021 • Shaoqi Yu, Xiaorun Li, Shuhan Chen, Liaoying Zhao

Experimental results demonstrate the accuracy and efficiency of our proposed method compared to the state-of-the-art detection methods.

Anomaly Detection

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

no code implementations • 2 Oct 2020 • Chaoqun Xia, Xiaorun Li, Liaoying Zhao, Shuhan Chen

Based on the hierarchical MERW (HMERW), we propose a small target detection method as follows.

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

1 code implementation • ECCV 2020 • 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 performance in complex scenarios.

object-detection RGB-D Salient Object Detection +2

Reverse Attention-Based Residual Network for Salient Object Detection

6 code implementations • IEEE Transactions on Image Processing 2020 • Shuhan Chen, Xiuli Tan, Ben Wang, Huchuan Lu, Xuelong Hu, Yun Fu

Benefiting from the quick development of deep convolutional neural networks, especially fully convolutional neural networks (FCNs), remarkable progresses have been achieved on salient object detection recently.

Object object-detection +2

Reverse Attention for Salient Object Detection

3 code implementations • ECCV 2018 • Shuhan Chen, Xiuli Tan, Ben Wang, Xuelong Hu

Benefit from the quick development of deep learning techniques, salient object detection has achieved remarkable progresses recently.

Object object-detection +3

Saliency Detection for Improving Object Proposals

no code implementations • 14 Mar 2016 • Shuhan Chen, Jindong Li, Xuelong Hu, Ping Zhou

Object proposals greatly benefit object detection task in recent state-of-the-art works.

Object object-detection +2