no code implementations • COLING 2020 • Ruifang He, Liangliang Zhao, Huanyu Liu
In this paper, we construct TWEETSUM, a new event-oriented dataset for social summarization.
1 code implementation • 19 Jan 2024 • Junyu Gao, Liangliang Zhao, Xuelong Li
Considering the absence of a dataset for this task, a large-scale Dataset (NWPU-MOC) is collected, consisting of 3, 416 scenes with a resolution of 1024 $\times$ 1024 pixels, and well-annotated using 14 fine-grained object categories.
no code implementations • 30 Apr 2024 • Lei Zhuang, Jingdong Zhao, Yuntao Li, Zichun Xu, Liangliang Zhao, Hong Liu
EISE and MPT are collaboratively trained, enabling EISE to autonomously learn and extract patterns from environmental data, thereby forming semantic representations that MPT could more effectively interpret and utilize for motion planning.