IEICE Technical Committee

Information and Systems-Pattern Recognition and Media Understanding(Date:2023/03/02)

Presentation

Takeshi Saitoh(Kyutech), Yuto Goto(RICOH), Hiroyuki Nagano(RICOH), Akihiro Kato(RICOH), Masaki Nose(RICOH), Naoki Hiramoto(Mercoin), Tomohiro Hattori(Gifu University), Shiiya Aoyama(Gifu University), Yusuke Katoh(Gifu University), Ryuta Toshima(Gifu University), Takumi Nagawaki(Gifu University), Satoshi Tamura(Gifu University), Daiki Arakane(Kyutech),

[Date]2023-03-02
[Paper #]PRMU2022-76,IBISML2022-83

Distributed Parallel Construction of Approximate Nearest Neighbor Search Index for Large-Scale and High-Dimensional Data

Naoki Ono(UTokyo), Yusuke Matsui(UTokyo),

[Date]2023-03-02
[Paper #]PRMU2022-64,IBISML2022-71

Does the class imbalance in the pre-training always adversely affect transfer learning performance?

Shojun Nakayama(Toshiba),

[Date]2023-03-02
[Paper #]PRMU2022-89,IBISML2022-96

A Study on Data Augmentation by Pixel Value Transformation for Product Image Retrieval DNN

Yu Okamoto(Wakayama Univ.), Masaki Kishibe(Wakayama Univ.), Toshikazu Wada(Wakayama Univ.),

[Date]2023-03-02
[Paper #]PRMU2022-94,IBISML2022-101

Regularizing Neural Networks with Meta Learning Generative Models

Shin'ya Yamaguchi(NTT/Kyoto Univ.), Daiki Chijiwa(NTT), Sekitoshi Kanai(NTT), Atsutoshi Kumagai(NTT), Hisashi Kashima(Kyoto Univ.),

[Date]2023-03-02
[Paper #]PRMU2022-58,IBISML2022-65

Pruning for Producing Efficient DNNs: Neuron Selection and Reconstruction based on Final Layer Error

Koji Kamma(Wakayama Univ.), Toshikazu Wada(Wakayama Univ.),

[Date]2023-03-02
[Paper #]PRMU2022-66,IBISML2022-73

Evaluating importance of data quantity and domain diversity for training dataset

Eisho Tsuji(Univ. Tsukuba/AIST), Shintatro Takenaga(Univ. Tsukuba/AIST), Masaki Onishi(AIST),

[Date]2023-03-02
[Paper #]PRMU2022-90,IBISML2022-97

On the Effectiveness of Formula-Driven Supervised Learning for Medical Image Tasks

Ryuto Endo(TDU), Shuya Takahashi(TDU), Eisaku Maeda(TDU),

[Date]2023-03-02
[Paper #]PRMU2022-71,IBISML2022-78

Detection of UI parts from web page images utilizing a small amount of data

Wataru Aizaki(Keio Univ.), Sotaro Kato(Keio Univ.), Yoshihisa Shinozawa(Keio Univ.), Yukako Iimura(NTT), Shinobu Saito(NTT),

[Date]2023-03-02
[Paper #]PRMU2022-61,IBISML2022-68

A Semi-Supervised Learning Framework using Mixed Augmentations and Scheduled Pseudo-Label Loss for Handwritten Text Recognition

Masayuki Honda(TUAT), Hung Tuan Nguyen(TUAT), Cuong Tuan Nguyen(TUAT), Cong Kha Nguyen(Hitachi Ltd.), Ryosuke Odate(Hitachi Ltd.), Takashi Kanemaru(Hitachi Ltd.), Masaki Nakagawa(TUAT),

[Date]2023-03-02
[Paper #]PRMU2022-97,IBISML2022-104

Boosting for Class Imbalance Data

Yuya Saito(Kyushu Univ), Shinnosuke Matsuo(Kyushu Univ), Seiichi Uchida(Kyushu Univ), Daiki Suehiro(Kyushu Univ),

[Date]2023-03-02
[Paper #]PRMU2022-80,IBISML2022-87

Evaluation of Vision Transformer based Spatial Transformer Networks

Yoshiharu Iwasaki(Ritsumeikan Univ.), Yu Wang(Hitotsubashi Univ.), Jien Kato(Ritsumeikan Univ.),

[Date]2023-03-02
[Paper #]PRMU2022-91,IBISML2022-98

Relation Between Shape/Texture Biases and Double-Descent Phenomenon in Visual Recognition

Shuya Takahashi(Tokyo Denki Univ./AIST), Nakamasa Inoue(Tokyo Tech), Rio Yokota(Tokyo Tech), Hirokatsu Kataoka(AIST), Eisaku Maeda(Tokyo Denki Univ.),

[Date]2023-03-02
[Paper #]PRMU2022-60,IBISML2022-67

learning from label proportions

Shinnosuke Matsuo(Kyushu Univ.), Daiki Suehiro(Kyushu Univ.), Seiichi Uchida(Kyushu Univ.), Ryoma Bise(Kyushu Univ.),

[Date]2023-03-02
[Paper #]PRMU2022-92,IBISML2022-99

Adversarial Training Focusing on Misclassification Risk in Image Classification

Norikoe Murakami(Aoyama Gakuin Univ.), Seiya Ito(Aoyama Gakuin Univ.), Kouzou Ohara(Aoyama Gakuin Univ.),

[Date]2023-03-02
[Paper #]PRMU2022-59,IBISML2022-66

Shape completion

Yusuke Nagata(Kyushu Univ.), Seiichi Uchida(Kyushu Univ.),

[Date]2023-03-02
[Paper #]PRMU2022-93,IBISML2022-100

LabOps: Automating Research and Education Activities

Yusuke Matsui(UT),