2023年6月6-8日に開催されたQCAV2023に参加しました．
本研究室からは、Doctor林,M2滝,M2山田が発表を行いました．
M2滝は「Visual impression estimation system considering attribute information」
M2山田は「ACL: Active Curriculum Learning to Reduce Labeling Efforts」
Doctor林は「Fourier Pertutbation analysis for anomaly detection using fourire heat map」
というタイトルで発表しました．

発表論文
Visual Impression Estimation System Considering Attribute Information
Yukiya Taki, Kunihito Kato, Kazunori Terada, Kensuke Tobitani, Proc. of the International Conference on Quality Control by Artificial Vision 2023 (QCAV2023), Vol.12749 (2023)

ACL: Active Curriculum Learning to Reduce Labeling Efforts
Yusei Yamada, Shiryu Ueno, Takumi Oshita, Shunsuke Nakatsuka, Kunihito Kato, Proc. of the International Conference on Quality Control by Artificial Vision 2023 (QCAV2023), pp.141-148 (2023)

Fourier Perturbation Analysis for Anomaly Detection Using Fourier Heat Map
Yoshikazu Hayashi, Yoshikazu Hayashi, Hiroaki Aizawa, Shunsuke Nakatsuka, Proc. of the International Conference on Quality Control by Artificial Vision 2023 (QCAV2023), Vol.89 (2023)