no code implementations • 16 Jan 2024 • Haibin Zhou, Jun Chang, Tao Lu, Huabing Zhou
Therefore, accurate lane modeling is essential to align prediction results closely with the environment.
1 code implementation • 10 Sep 2023 • Yuan Meng, Xuhao Pan, Jun Chang, Yue Wang
Our experiments on a public Gendered Ambiguous Pronouns (GAP) dataset show that with the supervision learning of the syntactic dependency graph and without fine-tuning the entire BERT, we increased the F1-score of the previous best model (RGCN-with-BERT) from 80. 3% to 82. 5%, compared to the F1-score by single BERT embeddings from 78. 5% to 82. 5%.
no code implementations • 14 Feb 2022 • Beihang Song, Jing Li, Shan Xue, Jun Chang, Jia Wu, Jun Wan, Tianpeng Liu
In this study, we developed a single-stage rotating object detector via two points with a solar corona heatmap (ROTP) to detect oriented objects.