TY - GEN
T1 - The Fusion of Neural Architecture Search and Destruction and Construction Learning
T2 - 25th International Conference on Pattern Recognition Workshops, ICPR 2021
AU - Fang, Chao
AU - Hu, Yutao
AU - Zhang, Baochang
AU - Doermann, David
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Object classification is a classic problem in the field of pattern recognition. The traditional deep neural networks have been able to achieve good results on some classification problems, however, there are still many difficulties to be overcome in the fine-grained identification task, whose performance are still baffled by practical problems. In this paper, we introduce neural architecture search (NAS) to search the appropriate network according to the specific data set, which do not need more engineering work to adjust parameters for the optimized performance. We further combine the Destruction and Construction Learning (DCL) network and the NAS-based network for pollen recognition. To this end, we use a fusion algorithm to implement the combination of different networks, and won the pollen recognition competition held at the international pattern recognition Conference (ICPR) 2020.
AB - Object classification is a classic problem in the field of pattern recognition. The traditional deep neural networks have been able to achieve good results on some classification problems, however, there are still many difficulties to be overcome in the fine-grained identification task, whose performance are still baffled by practical problems. In this paper, we introduce neural architecture search (NAS) to search the appropriate network according to the specific data set, which do not need more engineering work to adjust parameters for the optimized performance. We further combine the Destruction and Construction Learning (DCL) network and the NAS-based network for pollen recognition. To this end, we use a fusion algorithm to implement the combination of different networks, and won the pollen recognition competition held at the international pattern recognition Conference (ICPR) 2020.
KW - Destruction and Construction Learning
KW - Model fusion
KW - Neural architecture search
UR - https://www.scopus.com/pages/publications/85104464238
U2 - 10.1007/978-3-030-68793-9_35
DO - 10.1007/978-3-030-68793-9_35
M3 - 会议稿件
AN - SCOPUS:85104464238
SN - 9783030687922
T3 - Lecture Notes in Computer Science
SP - 480
EP - 489
BT - Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings
A2 - Del Bimbo, Alberto
A2 - Cucchiara, Rita
A2 - Sclaroff, Stan
A2 - Farinella, Giovanni Maria
A2 - Mei, Tao
A2 - Bertini, Marco
A2 - Escalante, Hugo Jair
A2 - Vezzani, Roberto
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 10 January 2021 through 15 January 2021
ER -