2 citations · 3 across the 4 of their papers we have counts for
4 papers
STENet: Superpixel Token Enhancing Network for RGB-D Salient Object Detection
Jianlin Chen, Gongyang Li, Zhijiang Zhang +2
Transformer-based methods for RGB-D Salient Object Detection (SOD) have gained significant interest, owing to the transformer's exceptional capacity to capture long-range pixel dep…
DefFiller: Mask-Conditioned Diffusion for Salient Steel Surface Defect Generation
Yichun Tai, Zhenzhen Huang, Tao Peng +1
Current saliency-based defect detection methods show promise in industrial settings, but the unpredictability of defects in steel production environments complicates dataset creati…
Defect Image Sample Generation With Diffusion Prior for Steel Surface Defect Recognition
Yichun Tai, Kun Yang, Tao Peng +2
The task of steel surface defect recognition is an industrial problem with great industry values. The data insufficiency is the major challenge in training a robust defect recognit…
Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face Learning
Hailin Shi, Dan Zeng, Yichun Tai +4
With the recent development of deep convolutional neural networks and large-scale datasets, deep face recognition has made remarkable progress and been widely used in various appli…