A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal

31 December 2020

Papers citing "A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal"

7 / 7 papers shown

Title
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches Luca Ciampi Ali Azmoudeh Elif Ecem Akbaba Erdi Sarıtaş Ziya Ata Yazıcı H. K. Ekenel Giuseppe Amato Fabrizio Falchi 97 0 0 31 Jan 2025
Accelerating Deep Learning with Fixed Time Budget Muhammad Asif Khan R. Hamila Hamid Menouar 18 0 0 03 Oct 2024
Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar Lorenzo Servadei Huawei Sun Julius Ott Michael Stephan Souvik Hazra Thomas Stadelmayer Daniela Sanchez Lopera Robert Wille Avik Santra 27 11 0 12 Oct 2021
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting Mingjie Wang Hao Cai Xianfeng Han Jun Zhou Minglun Gong 29 41 0 18 Dec 2020
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting Lingbo Liu Jiaqi Chen Hefeng Wu Guanbin Li Chenglong Li Liang Lin 51 108 0 08 Dec 2020
Learning Independent Instance Maps for Crowd Localization Junyu Gao Tao Han Qi. Wang Yuan. Yuan Xuelong Li 22 35 0 08 Dec 2020
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting Mahesh Kumar Krishna Reddy Mrigank Rochan Yiwei Lu Yang Wang 9 24 0 23 Oct 2020