2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDARS-8.1
Paper Title Progressive Knowledge Distillation for Early Action Recognition
Authors Vinh Tran, Niranjan Balasubramanian, Minh Hoai Nguyen, Stony Brook University, United States
SessionARS-8: Image and Video Mid-Level Analysis
LocationArea I
Session Time:Monday, 20 September, 13:30 - 15:00
Presentation Time:Monday, 20 September, 13:30 - 15:00
Presentation Poster
Topic Image and Video Analysis, Synthesis, and Retrieval: Image & Video Mid-Level Analysis
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract We present a novel framework to train a recurrent neural network for early recognition of human action, which is an important but challenging task given the need to recognize an on-going action based on partial observation. Our framework is based on knowledge distillation, where the network for early recognition is a student model, and it is trained by distilling the knowledge from a teacher model that has superior knowledge by peeking into the future and incorporating extra observations about the action in consideration. This framework can be used in both supervised and semi-supervised learning settings, being able to utilize both the labeled and unlabeled training data. Experiments on the UCF101, SYSU 3DHOI, and NTU RGB-D datasets show the effectiveness of knowledge distillation for early recognition, including situations where we only have a small amount of annotated training data.