21 citations · 22 across the 3 of their papers we have counts for
3 papers
cs.CV2024
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Sunyuan Qiang, Xuxin Lin, Yanyan Liang +2
Continual learning (CL) aims to extend deep models from static and enclosed environments to dynamic and complex scenarios, enabling systems to continuously acquire new knowledge of…
cs.CV2023★ 1 cited
Long-Range Grouping Transformer for Multi-View 3D Reconstruction
Liying Yang, Zhenwei Zhu, Xuxin Lin +2
Nowadays, transformer networks have demonstrated superior performance in many computer vision tasks. In a multi-view 3D reconstruction algorithm following this paradigm, self-atten…
cs.CV2022★ 21 cited
GARNet: Global-Aware Multi-View 3D Reconstruction Network and the Cost-Performance Tradeoff
Zhenwei Zhu, Liying Yang, Xuxin Lin +4
Deep learning technology has made great progress in multi-view 3D reconstruction tasks. At present, most mainstream solutions establish the mapping between views and shape of an ob…