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Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss
IEEE Transactions on Intelligent Transportation Systems
◽
10.1109/tits.2021.3138896
◽
2022
◽
pp. 1-11
Author(s):
Qian Wang
◽
Toby P. Breckon
Keyword(s):
Attention Networks
◽
Crowd Counting
Download Full-text
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Crowd Counting Using Scale-Aware Attention Networks
2019 IEEE Winter Conference on Applications of Computer Vision (WACV)
◽
10.1109/wacv.2019.00141
◽
2019
◽
Cited By ~ 18
Author(s):
Mohammad Hossain
◽
Mehrdad Hosseinzadeh
◽
Omit Chanda
◽
Yang Wang
Keyword(s):
Attention Networks
◽
Crowd Counting
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The Role of Attention Networks in Task Selection and Task Performance in Voluntary Task Switching
PsycEXTRA Dataset
◽
10.1037/e527312012-013
◽
2008
◽
Author(s):
Catherine M. Arrington
◽
Melissa M. Yates
Keyword(s):
Task Performance
◽
Task Switching
◽
Task Selection
◽
Attention Networks
◽
Voluntary Task Switching
◽
And Task
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Crowd Counting Using CSR-Net Architecture
International Journal of Advanced Trends in Computer Science and Engineering
◽
10.30534/ijatcse/2019/13862019
◽
2019
◽
Vol 8
(6)
◽
pp. 2762-2767
Author(s):
Pragnyaban Mishra
◽
Keyword(s):
Crowd Counting
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Proposal of a Monitoring System to Determine the Possibility of Contact with Confirmed Infectious Diseases Using K-means Clustering Algorithm and Deep Learning Based Crowd Counting
Korean Institute of Smart Media
◽
10.30693/smj.2020.9.3.122
◽
2020
◽
Vol 9
(3)
◽
pp. 122-129
Author(s):
Dongsu Lee
◽
ASHIQUZZAMAN A K M
◽
Yeonggwang Kim
◽
혜주 신
◽
Jinsul Kim
Keyword(s):
Deep Learning
◽
Infectious Diseases
◽
Monitoring System
◽
Clustering Algorithm
◽
Crowd Counting
Download Full-text
SANet++: Enhanced Scale Aggregation with Densely Connected Feature Fusion for Crowd Counting
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
◽
10.1109/icassp39728.2021.9415091
◽
2021
◽
Author(s):
Siyang Pan
◽
Yanyun Zhao
◽
Fei Su
◽
Zhicheng Zhao
Keyword(s):
Feature Fusion
◽
Crowd Counting
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Cross-modality co-attention networks for visual question answering
Soft Computing
◽
10.1007/s00500-020-05539-7
◽
2021
◽
Author(s):
Dezhi Han
◽
Shuli Zhou
◽
Kuan Ching Li
◽
Rodrigo Fernandes de Mello
Keyword(s):
Question Answering
◽
Attention Networks
◽
Visual Question Answering
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Superpixel Image Classification with Graph Attention Networks
2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
◽
10.1109/sibgrapi51738.2020.00035
◽
2020
◽
Author(s):
Pedro H. C. Avelar
◽
Anderson R. Tavares
◽
Thiago L. T. da Silveira
◽
Cliudio R. Jung
◽
Luis C. Lamb
Keyword(s):
Image Classification
◽
Attention Networks
Download Full-text
Multi-Scale Context Aggregation Network with Attention-Guided for Crowd Counting
2020 15th IEEE International Conference on Signal Processing (ICSP)
◽
10.1109/icsp48669.2020.9321067
◽
2020
◽
Author(s):
Xin Wang
◽
Rongrong Lv
◽
Yang Zhao
◽
Tangwen Yang
◽
Qiuqi Ruan
Keyword(s):
Crowd Counting
◽
Multi Scale
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PHNet: Parasite-Host Network for Video Crowd Counting
2020 25th International Conference on Pattern Recognition (ICPR)
◽
10.1109/icpr48806.2021.9412792
◽
2021
◽
Author(s):
Shiqiao Meng
◽
Jiajie Li
◽
Weiwei Guo
◽
Lai Ye
◽
Jinfeng Jiang
Keyword(s):
Crowd Counting
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Understanding the impact of mistakes on background regions in crowd counting
2021 IEEE Winter Conference on Applications of Computer Vision (WACV)
◽
10.1109/wacv48630.2021.00169
◽
2021
◽
Author(s):
Davide Modolo
◽
Bing Shuai
◽
Rahul Rama Varior
◽
Joseph Tighe
Keyword(s):
Crowd Counting
◽
The Impact
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