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2003.05586
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Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting
12 March 2020
Pongpisit Thanasutives
Ken-ichi Fukui
M. Numao
B. Kijsirikul
Re-assign community
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Papers citing
"Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting"
7 / 7 papers shown
Title
A Recipe for CAC: Mosaic-based Generalized Loss for Improved Class-Agnostic Counting
Tsung-Han Chou
Brian Wang
Wei-Chen Chiu
Jun-Cheng Chen
40
0
0
15 Apr 2024
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification
Yiming Ma
Victor Sanchez
T. Guha
38
3
0
14 Mar 2024
Scale-Aware Crowd Counting Using a Joint Likelihood Density Map and Synthetic Fusion Pyramid Network
Yi-Kuan Hsieh
J. Hsieh
Yu-Chee Tseng
Ming-Ching Chang
Bo Wang
15
0
0
13 Nov 2022
Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives
Muhammad Asif Khan
Hamid Menouar
R. Hamila
HAI
21
56
0
14 Sep 2022
Towards More Effective PRM-based Crowd Counting via A Multi-resolution Fusion and Attention Network
Usman Sajid
Guanghui Wang
32
9
0
17 Dec 2021
Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism for Crowd Counting
Yuehai Chen
Jing Yang
Dong-Ming Zhang
Kun Zhang
Badong Chen
S. Du
6
17
0
23 Jun 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
435
15,631
0
02 Nov 2015
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