6 citations · 14 across the 5 of their papers we have counts for
5 papers
GroupTransNet: Group Transformer Network for RGB-D Salient Object Detection
Xian Fang, Jinshao Zhu, Xiuli Shao +1
Salient object detection on RGB-D images is an active topic in computer vision. Although the existing methods have achieved appreciable performance, there are still some challenges…
LC3Net: Ladder context correlation complementary network for salient object detection
Xian Fang, Jinchao Zhu, Xiuli Shao +1
Currently, existing salient object detection methods based on convolutional neural networks commonly resort to constructing discriminative networks to aggregate high level and low…
M2RNet: Multi-modal and Multi-scale Refined Network for RGB-D Salient Object Detection
Xian Fang, Jinchao Zhu, Ruixun Zhang +2
Salient object detection is a fundamental topic in computer vision. Previous methods based on RGB-D often suffer from the incompatibility of multi-modal feature fusion and the insu…
Modal-Adaptive Gated Recoding Network for RGB-D Salient Object Detection
Jinchao Zhu, Xiaoyu Zhang, Xian Fang +2
The multi-modal salient object detection model based on RGB-D information has better robustness in the real world. However, it remains nontrivial to better adaptively balance effec…
Perception-and-Regulation Network for Salient Object Detection
Jinchao Zhu, Xiaoyu Zhang, Xian Fang +3
Effective fusion of different types of features is the key to salient object detection. The majority of existing network structure design is based on the subjective experience of s…