Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IBISML, IPSJ-CVIM |
2024-03-04 15:30 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Development of a Method of Growth Diagnosis for Mini-tomatoes Using a Color Stereo Camera Hiroki Egawa (Wakayama Univ.), Toshiya Tanaka, Hiromi Hanada (Warm Place Gardening Center), Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2023-74 |
(To be available after the conference date) [more] |
PRMU2023-74 pp.134-139 |
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI |
2023-11-17 14:40 |
Tottori |
(Primary: On-site, Secondary: Online) |
A context-dependent character sequence recognition based on ambiguous recognition expression Shu Kimoto, Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2023-37 |
Classification is usually regarded as a task of determining the class to which a given input belongs, however, the class... [more] |
PRMU2023-37 pp.119-124 |
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI |
2023-11-17 14:40 |
Tottori |
(Primary: On-site, Secondary: Online) |
An image based barcode reading using Hough transform and 1-D super resolution Hiroki Egawa, Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2023-38 |
There is a demand for automatic reading of shelf tag barcodes captured by mobile robots to assist shelf allocation. In t... [more] |
PRMU2023-38 pp.125-130 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 09:40 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Pruning for Producing Efficient DNNs: Neuron Selection and Reconstruction based on Final Layer Error Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2022-66 IBISML2022-73 |
Deep Neural Networks (DNNs) are dominant in the field of machine learning. However, because DNN models have large comput... [more] |
PRMU2022-66 IBISML2022-73 pp.42-47 |
PRMU |
2022-12-15 10:45 |
Toyama |
Toyama International Conference Center (Primary: On-site, Secondary: Online) |
DN4C
-- An Interactive Image Segmentation System Combining Deep Neural Network and Nearest Neighbor Classifier -- Toshikazu Wada, Koji Kamma (Wakayama University) PRMU2022-35 |
Color/texture based image segmentation can be widely applied to the images for product and/or medical inspection, remote... [more] |
PRMU2022-35 pp.19-24 |
PRMU |
2022-12-15 14:25 |
Toyama |
Toyama International Conference Center (Primary: On-site, Secondary: Online) |
A DNN compression method based on output error of activation functions Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2022-38 |
Deep Neural Networks (DNNs) are dominant in the field of machine learning. However, because DNN models have large comput... [more] |
PRMU2022-38 pp.34-39 |
PRMU |
2022-09-14 16:00 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
Convolutional Skip Connection for Compressing DNNs with Branched Architectures Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2022-16 |
Although Deep Neural Network (DNN) is a core technology in Computer Vision, it is difficult to implement DNN models beca... [more] |
PRMU2022-16 pp.37-42 |
PRMU, IPSJ-CVIM |
2020-05-14 13:15 |
Online |
Online |
Biorthogonal System Based Channel Selection Algorithm for Neural Network Pruning Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2020-2 |
[more] |
PRMU2020-2 pp.7-12 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2018-09-20 10:10 |
Fukuoka |
|
Structural Learning of Neural Network based on Outputs of Neurons Koji Kamma, Yuki Isoda, Toshikazu Wada (Wakayama Univ.) PRMU2018-40 IBISML2018-17 |
This paper presents a method of compaction on DNNs. Our method includes two steps, 1) Neuro-Coding: feature the neuron b... [more] |
PRMU2018-40 IBISML2018-17 pp.31-36 |