Bayesian Loss for Crowd Count Estimation with Point Supervision

10 August 2019

Papers citing "Bayesian Loss for Crowd Count Estimation with Point Supervision"

23 / 173 papers shown

Title
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks Yan Liu Lingqiao Liu Peng Wang Pingping Zhang Yinjie Lei SSL 17 75 0 07 Jul 2020
Recurrent Distillation based Crowd Counting Yue Gu Wenxi Liu 18 0 0 14 Jun 2020
Over-crowdedness Alert! Forecasting the Future Crowd Distribution Yuzhen Niu Weifeng Shi Wenxi Liu Shengfeng He Jianxiong Pan Antoni B. Chan 6 3 0 09 Jun 2020
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting Mingjie Wang Hao Cai Jun Zhou Minglun Gong 29 20 0 25 May 2020
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting Xiyang Liu Jie Yang Wenrui Ding 22 112 0 12 May 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 22 403 0 23 Apr 2020
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method Vishwanath A. Sindagi R. Yasarla Vishal M. Patel 14 222 0 07 Apr 2020
Understanding the impact of mistakes on background regions in crowd counting Davide Modolo Bing Shuai Rahul Rama Varior Joseph Tighe 28 17 0 30 Mar 2020
CNN-based Density Estimation and Crowd Counting: A Survey Guangshuai Gao Junyu Gao Qingjie Liu Qi. Wang Yunhong Wang 16 154 0 28 Mar 2020
Efficient Crowd Counting via Structured Knowledge Transfer Lingbo Liu Jiaqi Chen Hefeng Wu Tianshui Chen Guanbin Li Liang Lin 21 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 22 63 0 12 Mar 2020
Dense Crowds Detection and Surveillance with Drones using Density Maps J. Gonzalez-Trejo D. Mercado-Ravell 14 10 0 03 Mar 2020
Towards Using Count-level Weak Supervision for Crowd Counting Yinjie Lei Yan Liu Pingping Zhang Lingqiao Liu 12 94 0 29 Feb 2020
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization Qi. Wang Junyu Gao Wei Lin Xuelong Li 27 379 0 10 Jan 2020
From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting Haipeng Xiong Hao Lu Chengxin Liu Liang Liu Chunhua Shen Z. Cao 12 13 0 07 Jan 2020
AutoScale: Learning to Scale for Crowd Counting and Localization Chenfeng Xu Dingkang Liang Yongchao Xu S. Bai Wei Zhan X. Bai M. Tomizuka 22 105 0 20 Dec 2019
Towards Partial Supervision for Generic Object Counting in Natural Scenes Hisham Cholakkal Guolei Sun Salman Khan F. Khan Ling Shao Luc Van Gool 12 12 0 13 Dec 2019
Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting Weizhe Liu Mathieu Salzmann Pascal Fua AAML 22 9 0 26 Nov 2019
Estimating People Flows to Better Count Them in Crowded Scenes Weizhe Liu Mathieu Salzmann Pascal Fua OT 3DH 11 38 0 25 Nov 2019
Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss Qian Wang T. Breckon 3DPC 18 6 0 18 Nov 2019
Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection Yingyue Xu Dan Xu Xiaopeng Hong Wanli Ouyang Rongrong Ji Mingliang Xu Guoying Zhao 25 43 0 10 Sep 2019
Dense Scale Network for Crowd Counting Feng Dai Hao Liu Yike Ma Juan Cao Qiang Zhao Yongdong Zhang 16 84 0 24 Jun 2019
DENet: A Universal Network for Counting Crowd with Varying Densities and Scales Lei Liu Jie Jiang W. Jia Saeed K. Amirgholipour Michelle Zeibots Xiangjian He 14 51 0 17 Apr 2019