Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting

12 March 2020

Papers citing "Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting"

8 / 8 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 47 0 0 15 Apr 2024
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification Yiming Ma Victor Sanchez T. Guha 43 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 18 0 0 13 Nov 2022
Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives Muhammad Asif Khan Hamid Menouar R. Hamila HAI 31 56 0 14 Sep 2022
Towards More Effective PRM-based Crowd Counting via A Multi-resolution Fusion and Attention Network Usman Sajid Guanghui Wang 34 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 Anton van den Hengel Badong Chen S. Du 11 17 0 23 Jun 2021
A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal Haoyue Bai Jiageng Mao Shueng-Han Gary Chan 44 22 0 31 Dec 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015