3 citations · 5 across the 4 of their papers we have counts for
4 papers
A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision--Revised
Runmin Wu, Mengyang Feng, Wenlong Guan +3
Though deep learning techniques have made great progress in salient object detection recently, the predicted saliency maps still suffer from incomplete predictions due to the inter…
Synergistic saliency and depth prediction for RGB-D saliency detection
Yue Wang, Yuke Li, James H. Elder +3
Depth information available from an RGB-D camera can be useful in segmenting salient objects when figure/ground cues from RGB channels are weak. This has motivated the development…
When Relation Networks meet GANs: Relation GANs with Triplet Loss
Runmin Wu, Kunyao Zhang, Lijun Wang +4
Though recent research has achieved remarkable progress in generating realistic images with generative adversarial networks (GANs), the lack of training stability is still a linger…
Class-Conditional Domain Adaptation on Semantic Segmentation
Yue Wang, Yuke Li, James H. Elder +2
Semantic segmentation is an important sub-task for many applications, but pixel-level ground truth labeling is costly and there is a tendency to overfit the training data, limiting…