47 citations · 110 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
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…
Rethinking of the Image Salient Object Detection: Object-level Semantic Saliency Re-ranking First, Pixel-wise Saliency Refinement Latter
Zhenyu Wu, Shuai Li, Chenglizhao Chen +2
The real human attention is an interactive activity between our visual system and our brain, using both low-level visual stimulus and high-level semantic information. Previous imag…
A Deeper Look at Salient Object Detection: Bi-stream Network with a Small Training Dataset
Zhenyu Wu, Shuai Li, Chenglizhao Chen +2
Compared with the conventional hand-crafted approaches, the deep learning based methods have achieved tremendous performance improvements by training exquisitely crafted fancy netw…
Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues
Jianrong Wang, Ge Zhang, Zhenyu Wu +2
In self-supervised monocular depth estimation, the depth discontinuity and motion objects' artifacts are still challenging problems. Existing self-supervised methods usually utiliz…