Action Recognition of Temporal Segment Network Based on Feature Fusion
Li Hongjun1,2,3,4, Ding Yupeng1, Li Chaobo1, Zhang Shibing1,3
1(School of Information Science and Technology, Nantong University, Nantong, Jiangsu 226019);2(State Key Laboratory for Novel Software Technology (Nanjing University), Nanjing 210023);3(Nantong Research Institute for Advanced Communication Technologies, Nantong, Jiangsu 226019);4(Tongke School of Microelectronics, Nantong, Jiangsu 226019)
Online:2020-01-01
Supported by:
This work was supported by the National Natural Science Foundation of China (61871241), the Ministry of Education Cooperation in Production and Education (201802302115), the Educational Science Research Subject of China Transportation Education Research Association (Jiaotong Education Research 1802-118), the Science and Technology Program of Nantong (JC2018025, JC2018129), the Nanjing University State Key Laboratory for Novel Software Technology (KFKT2019B015), the Postgraduate Research and Practice Innovation Program of Jiangsu Province (KYCX19_2056), and the Nantong University-Nantong Joint Research Center for Intelligent Information Technology (KFKT2017B04).
Li Hongjun, Ding Yupeng, Li Chaobo, Zhang Shibing. Action Recognition of Temporal Segment Network Based on Feature Fusion[J]. Journal of Computer Research and Development, 2020, 57(1): 145-158.