57 citations · 66 across the 4 of their papers we have counts for
4 papers
VMA: Divide-and-Conquer Vectorized Map Annotation System for Large-Scale Driving Scene
Shaoyu Chen, Yunchi Zhang, Bencheng Liao +7
High-definition (HD) map serves as the essential infrastructure of autonomous driving. In this work, we build up a systematic vectorized map annotation framework (termed VMA) for e…
FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework
Guozheng Li, Xu Chen, Peng Wang +2
Recent work for extracting relations from texts has achieved excellent performance. However, most existing methods pay less attention to the efficiency, making it still challenging…
Monocular Road Planar Parallax Estimation
Haobo Yuan, Teng Chen, Wei Sui +4
Estimating the 3D structure of the drivable surface and surrounding environment is a crucial task for assisted and autonomous driving. It is commonly solved either by using 3D sens…
Improving Fast Segmentation With Teacher-student Learning
Jiafeng Xie, Bing Shuai, Jian-Fang Hu +2
Recently, segmentation neural networks have been significantly improved by demonstrating very promising accuracies on public benchmarks. However, these models are very heavy and ge…