TY - GEN
T1 - Self-Attention Based Neural Network for Few Shot Classification
AU - Jain, Ravi
AU - Watanabe, Hiroshi
N1 - Funding Information:
This research is supported by JICA
Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/13
Y1 - 2020/10/13
N2 - This paper shows results of experiments carried on few shot classification using attention based neural network plus modifications to its formulation.
AB - This paper shows results of experiments carried on few shot classification using attention based neural network plus modifications to its formulation.
KW - Few Shot Classification
KW - Stand Alone Self Attention
UR - http://www.scopus.com/inward/record.url?scp=85099392860&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85099392860&partnerID=8YFLogxK
U2 - 10.1109/GCCE50665.2020.9291923
DO - 10.1109/GCCE50665.2020.9291923
M3 - Conference contribution
AN - SCOPUS:85099392860
T3 - 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
SP - 429
EP - 430
BT - 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE Global Conference on Consumer Electronics, GCCE 2020
Y2 - 13 October 2020 through 16 October 2020
ER -