Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds

2 August 2018

Papers citing "Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds"

50 / 114 papers shown

Title
Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer Junyuan Gao Maoguo Gong Xuelong Li ViT 24 46 0 02 Aug 2021
Spatial Uncertainty-Aware Semi-Supervised Crowd Counting Y. Meng Hongrun Zhang Yitian Zhao Xiaoyun Yang Xuesheng Qian Xiaowei Huang Yalin Zheng OT 21 87 0 28 Jul 2021
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network Zhikang Zou Xiaoye Qu Pan Zhou Shuangjie Xu Xiaoqing Ye Wenhao Wu Jinxing Ye 27 32 0 27 Jul 2021
Rethinking Counting and Localization in Crowds:A Purely Point-Based Framework Qingyu Song Changan Wang Zhengkai Jiang Yabiao Wang Ying Tai Chengjie Wang Jilin Li Feiyue Huang Yang Wu 35 260 0 27 Jul 2021
Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd Counting Changan Wang Qingyu Song Boshen Zhang Yabiao Wang Ying Tai Xuyi Hu Chengjie Wang Jilin Li Jiayi Ma Yang Wu 20 38 0 27 Jul 2021
Video Crowd Localization with Multi-focus Gaussian Neighborhood Attention and a Large-Scale Benchmark Haopeng Li Lingbo Liu Kunlin Yang Shinan Liu Junyuan Gao Bin Zhao Rui Zhang Jun Hou 47 14 0 19 Jul 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 19 17 0 23 Jun 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 29 93 0 06 May 2021
Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization Yi Wang Xinyu Hou Lap-Pui Chau 3DPC 29 24 0 26 Apr 2021
Learning To Count Everything Viresh Ranjan U. Sharma Thua Nguyen Minh Hoai 27 140 0 16 Apr 2021
Leveraging Self-Supervision for Cross-Domain Crowd Counting Weizhe Liu N. Durasov Pascal Fua 22 40 0 30 Mar 2021
Focal Inverse Distance Transform Maps for Crowd Localization Dingkang Liang Wei Xu Yingying Zhu Yu Zhou 21 117 0 16 Feb 2021
Counting and Locating High-Density Objects Using Convolutional Neural Network Mauro dos Santos de Arruda L. Osco Plabiany Rodrigo Acosta D. Gonçalves J. M. Junior ... E. Matsubara Zhipeng Luo Jonathan Li J. Silva W. Gonçalves 28 19 0 08 Feb 2021
Enhanced Information Fusion Network for Crowd Counting Geng Chen Pei Guo 27 1 0 12 Jan 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
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting Mingjie Wang Hao Cai Xianfeng Han Jun Zhou Minglun Gong 42 41 0 18 Dec 2020
Learning Independent Instance Maps for Crowd Localization Junyu Gao Tao Han Qi. Wang Yuan. Yuan Xuelong Li 30 41 0 08 Dec 2020
Counting People by Estimating People Flows Weizhe Liu Mathieu Salzmann Pascal Fua 3DH 39 32 0 01 Dec 2020
Coarse- and Fine-grained Attention Network with Background-aware Loss for Crowd Density Map Estimation Liangzi Rong Chunping Li 28 48 0 07 Nov 2020
Uncertainty Estimation and Sample Selection for Crowd Counting Viresh Ranjan Boyu Wang M. Shah Minh Hoai UQCV 27 25 0 30 Sep 2020
Distribution Matching for Crowd Counting Boyu Wang Huidong Liu Dimitris Samaras Minh Hoai OT 41 282 0 28 Sep 2020
SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting Haoran Duan Shidong Wang Yu Guan EgoV 27 14 0 09 Aug 2020
Pixel-wise Crowd Understanding via Synthetic Data Wang Qi Junyu Gao Lin Wei Yuan. Yuan 33 117 0 30 Jul 2020
A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds Yi Wang Junhui Hou Xinyu Hou Lap-Pui Chau 3DPC 33 88 0 25 Jul 2020
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning Liang Liu Hao Lu Hongwei Zou Haipeng Xiong Zhiguo Cao Chunhua Shen OffRL 27 70 0 16 Jul 2020
Dense Crowds Detection and Counting with a Lightweight Architecture J. Gonzalez-Trejo D. Mercado-Ravell 19 9 0 13 Jul 2020
Active Crowd Counting with Limited Supervision Zhen Zhao Miaojing Shi Xiaoxiao Zhao Li Li 27 47 0 13 Jul 2020
Learning to Count in the Crowd from Limited Labeled Data Vishwanath A. Sindagi R. Yasarla Deepak Sam Babu R. Venkatesh Babu Vishal M. Patel 32 65 0 07 Jul 2020
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting Mingjie Wang Hao Cai Jun Zhou Minglun Gong 37 20 0 25 May 2020
Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making Harini Suresh Natalie Lao Ilaria Liccardi 16 49 0 22 May 2020
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting Xiyang Liu Jie Yang Wenrui Ding 30 112 0 12 May 2020
CNN-based Density Estimation and Crowd Counting: A Survey Guangshuai Gao Junyu Gao Qingjie Liu Qi. Wang Yunhong Wang 27 154 0 28 Mar 2020
Efficient Crowd Counting via Structured Knowledge Transfer Lingbo Liu Jiaqi Chen Hefeng Wu Tianshui Chen Guanbin Li Liang Lin 29 64 0 23 Mar 2020
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting Pongpisit Thanasutives Ken-ichi Fukui M. Numao B. Kijsirikul 30 63 0 12 Mar 2020
NAS-Count: Counting-by-Density with Neural Architecture Search Yutao Hu Xiaolong Jiang Xuhui Liu Baochang Zhang Jungong Han Xianbin Cao David Doermann 38 89 0 29 Feb 2020
ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images Usman Sajid Hasan Sajid Hongcheng Wang Guanghui Wang 33 44 0 27 Feb 2020
Focus on Semantic Consistency for Cross-domain Crowd Understanding Tao Han Junyu Gao Yuan. Yuan Qi. Wang 20 45 0 20 Feb 2020
Hybrid Graph Neural Networks for Crowd Counting Ao Luo Fan Yang Xin Li Dong Nie Zhicheng Jiao Shangchen Zhou Hong Cheng 28 84 0 31 Jan 2020
AutoScale: Learning to Scale for Crowd Counting and Localization Chenfeng Xu Dingkang Liang Yongchao Xu S. Bai Wei Zhan X. Bai Masayoshi Tomizuka 29 105 0 20 Dec 2019
Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting Weizhe Liu Mathieu Salzmann Pascal Fua AAML 27 9 0 26 Nov 2019
Estimating People Flows to Better Count Them in Crowded Scenes Weizhe Liu Mathieu Salzmann Pascal Fua OT 3DH 27 38 0 25 Nov 2019
Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss Qian Wang T. Breckon 3DPC 26 6 0 18 Nov 2019
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method Vishwanath A. Sindagi R. Yasarla Vishal M. Patel 21 87 0 28 Oct 2019
Attribute-aware Pedestrian Detection in a Crowd Jialiang Zhang Lixiang Lin Yang Li Yun-chen Chen Jianke Zhu Yao Hu Guosheng Lin 25 70 0 21 Oct 2019
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery R. Bahmanyar E. Vig P. Reinartz 23 44 0 27 Sep 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 48 349 0 25 Sep 2019
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Vishwanath A. Sindagi Vishal M. Patel 30 176 0 28 Aug 2019
Crowd Counting with Deep Structured Scale Integration Network Lingbo Liu Zhilin Qiu Guanbin Li Shufan Liu Wanli Ouyang Liang Lin 26 233 0 23 Aug 2019
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting Junyu Gao Qi. Wang Yuan. Yuan 25 191 0 10 Aug 2019
Bayesian Loss for Crowd Count Estimation with Point Supervision Zhiheng Ma Xing Wei Xiaopeng Hong Yihong Gong 3DPC 48 483 0 10 Aug 2019