Token shift transformer for video classification

• Main Authors: ZHANG Hao, HAO, Yanbin., NGO, Chong-wah
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Self-attention; Shift; Transformer; Video classification; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6807; https://ink.library.smu.edu.sg/context/sis_research/article/7810/viewcontent/Token_Shift_Transformer_for_Video_Classification.pdf
• Institution: Singapore Management University

Transformer achieves remarkable successes in understanding 1 and 2-dimensional signals (e.g., NLP and Image Content Understanding). As a potential alternative to convolutional neural networks, it shares merits of strong interpretability, high discriminative power on hyper-scale data, and flexibility...