Crowd Counting with Decomposed Uncertainty

Crowd Counting with Decomposed Uncertainty

15 March 2019

Papers citing "Crowd Counting with Decomposed Uncertainty"

12 / 12 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 99 0 0 31 Jan 2025
Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks Emanuele Ledda Giorgio Fumera Fabio Roli BDL UQCV 32 14 0 06 Feb 2023
Rethinking Spatial Invariance of Convolutional Networks for Object Counting Zhi-Qi Cheng Qi Dai Hong Li JingKuan Song Xiao-Jun Wu Alexander G. Hauptmann 3DPC 37 95 0 10 Jun 2022
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation Yongtuo Liu Dan Xu Sucheng Ren Han-Zhen Wu Hongmin Cai Shengfeng He 31 10 0 06 Aug 2021
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting Yongtuo Liu Sucheng Ren Liangyu Chai Han-Zhen Wu Jing Qin Dan Xu Shengfeng He 13 2 0 06 Aug 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
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
Uncertainty Estimation and Sample Selection for Crowd Counting Viresh Ranjan Boyu Wang M. Shah Minh Hoai UQCV 22 25 0 30 Sep 2020
CNN-based Density Estimation and Crowd Counting: A Survey Guangshuai Gao Junyu Gao Qingjie Liu Qi. Wang Yunhong Wang 22 154 0 28 Mar 2020
AutoScale: Learning to Scale for Crowd Counting and Localization Chenfeng Xu Dingkang Liang Yongchao Xu S. Bai Wei Zhan X. Bai M. Tomizuka 27 105 0 20 Dec 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015