Multi-teacher Knowledge Distillation for Compressed Video Action Recognition on Deep Neural Networks
碩士 === 國立清華大學 === 資訊工程學系所 === 106 === Human action recognition has been an active research topic in computer vision due to its wide range of applications, such as smart surveillance, smart home and health care monitoring. Implementation of these applications using VLSI or embedded computing systems...
Main Authors: | Wu, Meng-Chieh, 吳孟潔 |
---|---|
Other Authors: | Chiu, Ching-Te |
Format: | Others |
Language: | en_US |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/nwqj9a |
Similar Items
-
Compressing deep graph convolution network with multi-staged knowledge distillation.
by: Junghun Kim, et al.
Published: (2021-01-01) -
Review of Knowledge Distillation in Convolutional Neural Network Compression
by: MENG Xianfa, LIU Fang, LI Guang, HUANG Mengmeng
Published: (2021-10-01) -
Layer Leveled Knowledge Distillation for Deep Neural Network Learning
by: LIN, SHIH-CHIEH, et al.
Published: (2018) -
Layer-Level Knowledge Distillation for Deep Neural Network Learning
by: Hao-Ting Li, et al.
Published: (2019-05-01) -
Teaching Yourself: A Self-Knowledge Distillation Approach to Action Recognition
by: Duc-Quang Vu, et al.
Published: (2021-01-01)