Search Results for author: Jiang-Jiang Liu

Found 9 papers, 4 papers with code

Centralized Information Interaction for Salient Object Detection

no code implementations21 Dec 2020 Jiang-Jiang Liu, Zhi-Ang Liu, Ming-Ming Cheng

Our approach can cooperate with various existing U-shape-based salient object detection methods by substituting the connections between the bottom-up and top-down pathways.

Object Detection Salient Object Detection +1

Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton

no code implementations18 Apr 2020 Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng

To evaluate the performance of our proposed network on these tasks, we conduct exhaustive experiments on multiple representative datasets.

Edge Detection Semantic Segmentation

EGNet:Edge Guidance Network for Salient Object Detection

no code implementations22 Aug 2019 Jia-Xing Zhao, Jiang-Jiang Liu, Den-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng

In the second step, we integrate the local edge information and global location information to obtain the salient edge features.

RGB Salient Object Detection Salient Object Detection

A Simple Pooling-Based Design for Real-Time Salient Object Detection

5 code implementations CVPR 2019 Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang

We further design a feature aggregation module (FAM) to make the coarse-level semantic information well fused with the fine-level features from the top-down pathway.

RGB Salient Object Detection Salient Object Detection

Three Birds One Stone: A General Architecture for Salient Object Segmentation, Edge Detection and Skeleton Extraction

1 code implementation27 Mar 2018 Qibin Hou, Jiang-Jiang Liu, Ming-Ming Cheng, Ali Borji, Philip H. S. Torr

Although these tasks are inherently very different, we show that our unified approach performs very well on all of them and works far better than current single-purpose state-of-the-art methods.

Edge Detection Semantic Segmentation

WebSeg: Learning Semantic Segmentation from Web Searches

no code implementations27 Mar 2018 Qibin Hou, Ming-Ming Cheng, Jiang-Jiang Liu, Philip H. S. Torr

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, thus substantially alleviating the dependence on accurate annotations when compared to previous weakly supervised methods.

Semantic Segmentation

Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground

no code implementations ECCV 2018 Deng-Ping Fan, Ming-Ming Cheng, Jiang-Jiang Liu, Shang-Hua Gao, Qibin Hou, Ali Borji

Our analysis identifies a serious design bias of existing SOD datasets which assumes that each image contains at least one clearly outstanding salient object in low clutter.

RGB Salient Object Detection Salient Object Detection

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