4 citations · 4 across the 1 of their papers we have counts for
5 papers
Centralized Information Interaction for Salient Object Detection
Jiang-Jiang Liu, Zhi-Ang Liu, Ming-Ming Cheng
The U-shape structure has shown its advantage in salient object detection for efficiently combining multi-scale features. However, most existing U-shape based methods focused on im…
EGNet:Edge Guidance Network for Salient Object Detection
Jia-Xing Zhao, Jiangjiang Liu, Den-Ping Fan +3
Fully convolutional neural networks (FCNs) have shown their advantages in the salient object detection task. However, most existing FCNs-based methods still suffer from coarse obje…
WebSeg: Learning Semantic Segmentation from Web Searches
Qibin Hou, Ming-Ming Cheng, Jiangjiang Liu +1
In this paper, we improve semantic segmentation by automatically learning from Flickr images associated with a particular keyword, without relying on any explicit user annotations,…
Three Birds One Stone: A General Architecture for Salient Object Segmentation, Edge Detection and Skeleton Extraction
Qibin Hou, Jiang-Jiang Liu, Ming-Ming Cheng +2
In this paper, we aim at solving pixel-wise binary problems, including salient object segmentation, skeleton extraction, and edge detection, by introducing a unified architecture.…
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground
Deng-Ping Fan, Ming-Ming Cheng, Jiang-Jiang Liu +3
We provide a comprehensive evaluation of salient object detection (SOD) models. Our analysis identifies a serious design bias of existing SOD datasets which assumes that each image…