40 citations · 79 across the 6 of their papers we have counts for
6 papers
Few-Shot Segmentation via Rich Prototype Generation and Recurrent Prediction Enhancement
Hongsheng Wang, Xiaoqi Zhao, Youwei Pang +1
Prototype learning and decoder construction are the keys for few-shot segmentation. However, existing methods use only a single prototype generation mode, which can not cope with t…
Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation
Xiaoqi Zhao, Youwei Pang, Jiaxing Yang +2
Location and appearance are the key cues for video object segmentation. Many sources such as RGB, depth, optical flow and static saliency can provide useful information about the o…
Suppress and Balance: A Simple Gated Network for Salient Object Detection
Xiaoqi Zhao, Youwei Pang, Lihe Zhang +2
Most salient object detection approaches use U-Net or feature pyramid networks (FPN) as their basic structures. These methods ignore two key problems when the encoder exchanges inf…
Multi-scale Interactive Network for Salient Object Detection
Youwei Pang, Xiaoqi Zhao, Lihe Zhang +1
Deep-learning based salient object detection methods achieve great progress. However, the variable scale and unknown category of salient objects are great challenges all the time.…
Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection
Youwei Pang, Lihe Zhang, Xiaoqi Zhao +1
The main purpose of RGB-D salient object detection (SOD) is how to better integrate and utilize cross-modal fusion information. In this paper, we explore these issues from a new pe…
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection
Xiaoqi Zhao, Lihe Zhang, Youwei Pang +2
Existing RGB-D salient object detection (SOD) approaches concentrate on the cross-modal fusion between the RGB stream and the depth stream. They do not deeply explore the effect of…