A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition

doi:10.1109/ACII.2019.8925525

	A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition
	Peng, Min 2; Wang, Chongyang 1; Bi, Tao 1; Shi, Yu 2; Zhou, Xiangdong 2; Chen, Tong 3
	2019
会议日期	September 3, 2019 - September 6, 2019
会议地点	Cambridge, United kingdom
DOI	10.1109/ACII.2019.8925525
英文摘要	The automatic recognition of micro-expression has been boosted ever since the successful introduction of deep learning approaches. As researchers working on such topics are moving to learn from the nature of micro-expression, the practice of using deep learning techniques has evolved from processing the entire video clip of micro-expression to the recognition on apex frame. Using the apex frame is able to get rid of redundant video frames, but the relevant temporal evidence of micro-expression would be thereby left out. This paper proposes a novel Apex-Time Network (ATNet)to recognize micro-expression based on spatial information from the apex frame as well as on temporal information from the respective-adjacent frames. Through extensive experiments on three benchmarks, we demonstrate the improvement achieved by learning such temporal information. Specially, the model with such temporal information is more robust in cross-dataset validations. © 2019 IEEE.
会议录	8th International Conference on Affective Computing and Intelligent Interaction, ACII 2019
语种	英语
内容类型	会议论文
源URL	[http://119.78.100.138/handle/2HOD01W0/9782]
专题	中国科学院重庆绿色智能技术研究院
作者单位	1.UCL Interaction Centre, University College London, London, United Kingdom; 2.Intelligent Security Center, Chongqing Institute of Green and Intelligent Technology, Chongqing, China; 3.College of Electronic and Information Engineering, Southwest University, Chongqing, China
推荐引用方式 GB/T 7714	Peng, Min,Wang, Chongyang,Bi, Tao,et al. A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition[C]. 见:. Cambridge, United kingdom. September 3, 2019 - September 6, 2019.