Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
PRMU2022-10
Sampling-based path planning using trajectories obtained by reinforcement learning
Keigo Kamiyama, Kei Ota, Ryosuke Takanami, Asako Kanezaki (Tokyo Tech)
pp. 1 - 6
PRMU2022-11
Evaluation of Loss Functions for Low-Resolution Iris Recognition Using Deep Learning
Rikuto Otsuka, Tsubasa Bora (UEC), Yuho Shoji, Yuka Ogino, Takahiro Toizumi (NEC), Ichino Masatsugu (UEC)
pp. 7 - 12
PRMU2022-12
Performance Evaluation of Data Augmentation Using Face Parsing for Improving Face Recognition
Hiroya Kawai, Koichi Ito (Tohoku Univ.), Hwann-Tzong Chen (NHTU), Takafumi Aoki (Tohoku Univ.)
pp. 13 - 18
PRMU2022-13
(See Japanese page.)
pp. 19 - 24
PRMU2022-14
Disease and severity classification of coffee leaf images by global low-level feature aggregation network
Takuhiro Okada, Satoshi Iizuka, Kazuhiro Fukui (Univ. of Tsukuba)
pp. 25 - 30
PRMU2022-15
Human Pose Transfer with Reduced Color Transfer by Occlusion for Person Re-Identification
Masaki Kishibe, Toshikazu Wada (Wakayama Univ.)
pp. 31 - 36
PRMU2022-16
Convolutional Skip Connection for Compressing DNNs with Branched Architectures
Koji Kamma, Toshikazu Wada (Wakayama Univ.)
pp. 37 - 42
PRMU2022-17
Data Augmentation with Style Transfer for Fossil Image Segmentation
Akihiro Waza (Osaka Metropolitan Univ.), Yuya Inamura (Osaka Prefecture Univ.), Katsufumi Inoue, Michifumi Yoshioka, Toshihiro Yamada (Osaka Metropolitan Univ.)
pp. 43 - 48
PRMU2022-18
One-cut Network Pruning at Initialization with Explainable Image Concepts
Yinan Yang (Rits Univ.), Ying Ji (Nagoya Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Rits Univ.)
pp. 49 - 54
PRMU2022-19
Image retrieval for animated characters from original works, derivative works and merchandise
Shiqi Mao (Ritsumeiken Univ), Longjiao Zhao (Nagoya Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Ritsumeiken Univ)
pp. 55 - 60
PRMU2022-20
(See Japanese page.)
pp. 61 - 66
PRMU2022-21
Effect validation of adversarial auxiliary classifier for video disentanglement
Takeshi Haga, Hiroshi Kera, Kazuhiko Kawamoto (Chiba Univ)
pp. 67 - 71
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.