163 citations · 308 across the 4 of their papers we have counts for
4 papers
SSFam: Scribble Supervised Salient Object Detection Family
Zhengyi Liu, Sheng Deng, Xinrui Wang +3
Scribble supervised salient object detection (SSSOD) constructs segmentation ability of attractive objects from surroundings under the supervision of sparse scribble labels. For th…
Scribble-Supervised RGB-T Salient Object Detection
Zhengyi Liu, Xiaoshen Huang, Guanghui Zhang +3
Salient object detection segments attractive objects in scenes. RGB and thermal modalities provide complementary information and scribble annotations alleviate large amounts of hum…
HRTransNet: HRFormer-Driven Two-Modality Salient Object Detection
Bin Tang, Zhengyi Liu, Yacheng Tan +1
The High-Resolution Transformer (HRFormer) can maintain high-resolution representation and share global receptive fields. It is friendly towards salient object detection (SOD) in w…
TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network
Zhengyi Liu, Yuan Wang, Zhengzheng Tu +2
Salient object detection is the pixel-level dense prediction task which can highlight the prominent object in the scene. Recently U-Net framework is widely used, and continuous con…