FGENet: Fine-Grained Extraction Network for Congested Crowd Counting

2 January 2024

Papers citing "FGENet: Fine-Grained Extraction Network for Congested Crowd Counting"

12 / 12 papers shown

Title
Cross-head Supervision for Crowd Counting with Noisy Annotations Mingliang Dai Zhizhong Huang Jiaqi Gao Hongming Shan Junping Zhang 52 22 0 16 Mar 2023
Centralized Feature Pyramid for Object Detection Yu Quan Dong Zhang Liyan Zhang Jinhui Tang ObjD 65 161 0 05 Oct 2022
Boosting Crowd Counting via Multifaceted Attention Hui Lin Zhiheng Ma Rongrong Ji Yaowei Wang Xiaopeng Hong 63 149 0 05 Mar 2022
FusionCount: Efficient Crowd Counting via Multiscale Feature Fusion Yiming Ma Victor Sanchez T. Guha 29 30 0 28 Feb 2022
An End-to-End Transformer Model for Crowd Localization Dingkang Liang Wei Xu Xiang Bai 43 122 0 26 Feb 2022
Spatial Uncertainty-Aware Semi-Supervised Crowd Counting Y. Meng Hongrun Zhang Yitian Zhao Xiaoyun Yang Xuesheng Qian Xiaowei Huang Yalin Zheng OT 55 90 0 28 Jul 2021
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark Longyin Wen Dawei Du Pengfei Zhu Q. Hu Qilong Wang Liefeng Bo Siwei Lyu 84 94 0 06 May 2021
Shallow Feature Based Dense Attention Network for Crowd Counting Yunqi Miao Zijia Lin Guiguang Ding Jungong Han 52 110 0 17 Jun 2020
Symmetric Cross Entropy for Robust Learning with Noisy Labels Yisen Wang Xingjun Ma Zaiyi Chen Yuan Luo Jinfeng Yi James Bailey NoLa 84 899 0 16 Aug 2019
Context-Aware Crowd Counting Weizhe Liu Mathieu Salzmann Pascal Fua 3DV HAI 70 581 0 26 Nov 2018
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds Haroon Idrees Muhmmad Tayyab Kishan Athrey Dong Zhang S. Al-Maadeed Nasir M. Rajpoot M. Shah 78 679 0 02 Aug 2018
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes Yuhong Li Xiaofan Zhang Deming Chen 128 1,338 0 27 Feb 2018