289 citations · 1.6k across the 33 of their papers we have counts for
13 papers · 1 filter
Light Field Salient Object Detection: A Review and Benchmark
Keren Fu, Yao Jiang, Ge-Peng Ji +3
Salient object detection (SOD) is a long-standing research topic in computer vision and has drawn an increasing amount of research interest in the past decade. This paper provides…
Uncertainty Inspired RGB-D Saliency Detection
Jing Zhang, Deng-Ping Fan, Yuchao Dai +4
We propose the first stochastic framework to employ uncertainty for RGB-D saliency detection by learning from the data labeling process. Existing RGB-D saliency detection models tr…
Siamese Network for RGB-D Salient Object Detection and Beyond
Keren Fu, Deng-Ping Fan, Ge-Peng Ji +3
Existing RGB-D salient object detection (SOD) models usually treat RGB and depth as independent information and design separate networks for feature extraction from each. Such sche…
RGB-D Salient Object Detection: A Survey
Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng +2
Salient object detection (SOD), which simulates the human visual perception system to locate the most attractive object(s) in a scene, has been widely applied to various computer v…
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
Deng-Ping Fan, Ge-Peng Ji, Tao Zhou +4
Colonoscopy is an effective technique for detecting colorectal polyps, which are highly related to colorectal cancer. In clinical practice, segmenting polyps from colonoscopy image…
Re-thinking Co-Salient Object Detection
Deng-Ping Fan, Tengpeng Li, Zheng Lin +5
In this paper, we conduct a comprehensive study on the co-salient object detection (CoSOD) problem for images. CoSOD is an emerging and rapidly growing extension of salient object…