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Home > Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part II > Deep Unitary Convolutional Neural Networks
Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part II |
Igor Farkaš; Paolo Masulli; Sebastian Otte; Stefan Wermter
Springer International Publishing
Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part II
Deep Unitary Convolutional Neural Networks
Authors

Hao-Yuan Chang; Kang L. Wang

ARI Id

1665338559597_5991391

Access

Not Available Free

Pages

170-181

DOI

10.1007/978-3-030-86340-1_14

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-86340-1_14

Table of Contents of Book
Showing 1 to 20 of 61 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xxiii
Front Matter
1-1
Selective Multi-scale Learning for Object Detection
Junliang Chen; Weizeng Lu; Linlin Shen
3-14
DRENet: Giving Full Scope to Detection and Regression-Based Estimation for Video Crowd Counting
Changsheng Liu; Yuan Huang; Yadong Mu; Xiaoming Yu
15-27
Sisfrutos Papaya: A Dataset for Detection and Classification of Diseases in Papaya
Jairo Lucas de Moraes; Jorcy de Oliveira Neto; Jacson R. Correia-Silva; Thiago M. Paixão; Claudine Badue; Thiago Oliveira-Santos et al.
28-39
Faster-LTN: A Neuro-Symbolic, End-to-End Object Detection Architecture
Francesco Manigrasso; Filomeno Davide Miro; Lia Morra; Fabrizio Lamberti
40-52
GC-MRNet: Gated Cascade Multi-stage Regression Network for Crowd Counting
Ying Shi; Jun Sang; Jinghan Tan; Zhongyuan Wu; Bin Cai; Nong Sang
53-66
Latent Feature-Aware and Local Structure-Preserving Network for 3D Completion from a Single Depth View
Caixia Liu; Dehui Kong; Shaofan Wang; Jinghua Li; Baocai Yin
67-79
Facial Expression Recognition by Expression-Specific Representation Swapping
Jie Lei; Zhao Liu; Zeyu Zou; Tong Li; Juan Xu; Zunlei Feng et al.
80-91
Iterative Error Removal for Time-of-Flight Depth Imaging
Zhuolin Zheng; Yinzhang Ding; Xiaotian Tang; Yu Cai; Dongxiao Li; Ming Zhang et al.
92-105
Blurred Image Recognition: A Joint Motion Deblurring and Classification Loss-Aware Approach
Wenjie Zhang; Zhi Wang
106-117
Learning How to Zoom In: Weakly Supervised ROI-Based-DAM for Fine-Grained Visual Classification
Wenjie Chen; Shuang Ran; Tian Wang; Lihong Cao
118-130
Front Matter
131-131
(Input) Size Matters for CNN Classifiers
Mats L. Richter; Wolf Byttner; Ulf Krumnack; Anna Wiedenroth; Ludwig Schallner; Justin Shenk
133-144
Accelerating Depthwise Separable Convolutions with Vector Processor
Yuekai Zhao; Jianzhuang Lu; Xiaowen Chen
145-156
KCNet: Kernel-Based Canonicalization Network for Entities in Recruitment Domain
Nidhi Goyal; Niharika Sachdeva; Anmol Goel; Jushaan Singh Kalra; Ponnurangam Kumaraguru
157-169
Deep Unitary Convolutional Neural Networks
Hao-Yuan Chang; Kang L. Wang
170-181
Front Matter
183-183
DPWTE: A Deep Learning Approach to Survival Analysis Using a Parsimonious Mixture of Weibull Distributions
Achraf Bennis; Sandrine Mouysset; Mathieu Serrurier
185-196
First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework
Thomas Pierrot; Nicolas Perrin-Gilbert; Olivier Sigaud
197-208
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 61 entries
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