43 citations · 49 across the 4 of their papers we have counts for
4 papers
HODINet: High-Order Discrepant Interaction Network for RGB-D Salient Object Detection
Kang Yi, Jing Xu, Xiao Jin +2
RGB-D salient object detection (SOD) aims to detect the prominent regions by jointly modeling RGB and depth information. Most RGB-D SOD methods apply the same type of backbones and…
TriPINet: Tripartite Progressive Integration Network for Image Manipulation Localization
Wei-Yun Liang, Jing Xu, Xiao Jin
Image manipulation localization aims at distinguishing forged regions from the whole test image. Although many outstanding prior arts have been proposed for this task, there are st…
Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net
Yu Qiu, Yun Liu, Le Zhang +1
Existing salient object detection (SOD) methods mainly rely on U-shaped convolution neural networks (CNNs) with skip connections to combine the global contexts and local spatial de…
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation
Yu Qiu, Yun Liu, Shijie Li +1
The rapid spread of the new pandemic, i.e., COVID-19, has severely threatened global health. Deep-learning-based computer-aided screening, e.g., COVID-19 infected CT area segmentat…