Counting with Focus for Free

28 March 2019

Papers citing "Counting with Focus for Free"

22 / 22 papers shown

Title
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors Anindya Mondal Sauradip Nag Xiatian Zhu Anjan Dutta 36 3 0 08 Mar 2024
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model Dingkang Liang Jiahao Xie Zhikang Zou Xiaoqing Ye Wei Xu Xiang Bai SSL CLIP VLM 34 52 0 09 Apr 2023
Redesigning Multi-Scale Neural Network for Crowd Counting Zhipeng Du Miaojing Shi Jiankang Deng S. Zafeiriou 34 44 0 04 Aug 2022
Discrete-Constrained Regression for Local Counting Models Haipeng Xiong Angela Yao 27 24 0 20 Jul 2022
Glance to Count: Learning to Rank with Anchors for Weakly-supervised Crowd Counting Zheng Xiong Liangyu Chai Wenxi Liu Yongtuo Liu Sucheng Ren Shengfeng He 29 5 0 29 May 2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting Jiaqi Gao Jingqi Li Hongming Shan Yanyun Qu Jianmin Wang Fei-Yue Wang Junping Zhang 33 19 0 06 May 2022
CrowdFormer: Weakly-supervised Crowd counting with Improved Generalizability Siddharth Singh Savner Vivek Kanhangad ViT 21 31 0 07 Mar 2022
Towards More Effective PRM-based Crowd Counting via A Multi-resolution Fusion and Attention Network Usman Sajid Guanghui Wang 34 9 0 17 Dec 2021
CCTrans: Simplifying and Improving Crowd Counting with Transformer Ye Tian Xiangxiang Chu Hongpeng Wang ViT 21 75 0 29 Sep 2021
Leveraging Self-Supervision for Cross-Domain Crowd Counting Weizhe Liu N. Durasov Pascal Fua 22 40 0 30 Mar 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
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
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
Active Crowd Counting with Limited Supervision Zhen Zhao Miaojing Shi Xiaoxiao Zhao Li Li 27 47 0 13 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
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting Xiyang Liu Jie Yang Wenrui Ding 24 112 0 12 May 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
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
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
AutoScale: Learning to Scale for Crowd Counting and Localization Chenfeng Xu Dingkang Liang Yongchao Xu S. Bai Wei Zhan X. Bai Masayoshi Tomizuka 27 105 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