47 citations · 131 across the 17 of their papers we have counts for
18 papers · 1 filter
When Depth Hurts: Reliability-Aware Geometry Distillation for Depth-Free RGB-D Salient Object Detection
Xuehao Wang, Jiaxin Hua, Runmei Li +4
Depth can resolve appearance ambiguity in RGB-D salient object detection (SOD), yet sensor depth is not uniformly reliable. Missing regions, blurred boundaries, and structural arti…
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey
Zhenyu Wu, Fengmao Lv, Chenglizhao Chen +2
Colorectal polyp segmentation (CPS), an essential problem in medical image analysis, has garnered growing research attention. Recently, the deep learning-based model completely ove…
Rethinking Object Saliency Ranking: A Novel Whole-flow Processing Paradigm
Mengke Song, Linfeng Li, Dunquan Wu +2
Existing salient object detection methods are capable of predicting binary maps that highlight visually salient regions. However, these methods are limited in their ability to diff…
WinDB: HMD-free and Distortion-free Panoptic Video Fixation Learning
Guotao Wang, Chenglizhao Chen, Aimin Hao +2
To date, the widely adopted way to perform fixation collection in panoptic video is based on a head-mounted display (HMD), where users' fixations are collected while wearing an HMD…
Synthetic Data Supervised Salient Object Detection
Zhenyu Wu, Lin Wang, Wei Wang +4
Although deep salient object detection (SOD) has achieved remarkable progress, deep SOD models are extremely data-hungry, requiring large-scale pixel-wise annotations to deliver su…
Salient Object Detection via Dynamic Scale Routing
Zhenyu Wu, Shuai Li, Chenglizhao Chen +2
Recent research advances in salient object detection (SOD) could largely be attributed to ever-stronger multi-scale feature representation empowered by the deep learning technologi…