35 citations · 76 across the 6 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CV2023★ 18 cited
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative Perception
Xianghao Kong, Wentao Jiang, Jinrang Jia +3
Vehicle-to-Everything (V2X) collaborative perception is crucial for autonomous driving. However, achieving high-precision V2X perception requires a significant amount of annotated…
cs.CV2023★ 18 cited
Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception
Si Liu, Chen Gao, Yuan Chen +8
Vehicle-to-everything (V2X) autonomous driving opens up a promising direction for developing a new generation of intelligent transportation systems. Collaborative perception (CP) a…
cs.CV2023★ 2 cited
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation
Ruifei Zhang, Sishuo Liu, Yizhou Yu +1
Biomedical image segmentation plays a significant role in computer-aided diagnosis. However, existing CNN based methods rely heavily on massive manual annotations, which are very e…