Distribution Matching for Crowd Counting

28 September 2020

Papers citing "Distribution Matching for Crowd Counting"

50 / 112 papers shown

Title
Zero-shot Object Counting Jingyi Xu Hieu M. Le Vu Nguyen Viresh Ranjan Dimitris Samaras 29 41 0 03 Mar 2023
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis VLM DiffM 31 3 0 30 Jan 2023
RGB-T Multi-Modal Crowd Counting Based on Transformer Zhengyi Liu Wei Wu liuzywen Guanghui Zhang ViT 18 11 0 08 Jan 2023
HDNet: A Hierarchically Decoupled Network for Crowd Counting Chenliang Gu Changan Wang Bin-Bin Gao Jun Liu Tianliang Zhang 21 0 0 12 Dec 2022
Progressive Multi-resolution Loss for Crowd Counting Ziheng Yan Yuankai Qi Guorong Li Xinyan Liu Weigang Zhang Qingming Huang Ming-Hsuan Yang 26 10 0 08 Dec 2022
Consistency-Aware Anchor Pyramid Network for Crowd Localization Xinyan Liu Guorong Li Yuankai Qi Zhenjun Han Qingming Huang Ming-Hsuan Yang N. Sebe 32 6 0 08 Dec 2022
Domain-General Crowd Counting in Unseen Scenarios Zhipeng Du Jiankang Deng Miaojing Shi OOD 24 27 0 05 Dec 2022
Counting Like Human: Anthropoid Crowd Counting on Modeling the Similarity of Objects Qi. Wang Juncheng Wang Junyuan Gao Yuan. Yuan Xuelong Li 33 2 0 02 Dec 2022
Scale-Aware Crowd Counting Using a Joint Likelihood Density Map and Synthetic Fusion Pyramid Network Yi-Kuan Hsieh J. Hsieh Yu-Chee Tseng Ming-Ching Chang Bo Wang 18 0 0 13 Nov 2022
Inception-Based Crowd Counting -- Being Fast while Remaining Accurate Yiming Ma 19 2 0 18 Oct 2022
Heatmap Distribution Matching for Human Pose Estimation Haoxuan Qu Li Xu Yujun Cai Lin Geng Foo Jun Liu 21 14 0 03 Oct 2022
Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives Muhammad Asif Khan Hamid Menouar R. Hamila HAI 31 56 0 14 Sep 2022
Semi-supervised Crowd Counting via Density Agency Hui Lin Zhiheng Ma Xiaopeng Hong Yao Wang Zhou Su OT 23 29 0 07 Sep 2022
Redesigning Multi-Scale Neural Network for Crowd Counting Zhipeng Du Miaojing Shi Jiankang Deng S. Zafeiriou 28 44 0 04 Aug 2022
Few-shot Object Counting and Detection T. Nguyen Chau Pham Khoi Duc Minh Nguyen Minh Hoai 13 47 0 22 Jul 2022
Discrete-Constrained Regression for Local Counting Models Haipeng Xiong Angela Yao 19 24 0 20 Jul 2022
Backdoor Attacks on Crowd Counting Yuhua Sun Tailai Zhang Xingjun Ma Pan Zhou Jian Lou Zichuan Xu Xing Di Yu Cheng Lichao AAML 11 15 0 12 Jul 2022
Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation Yuehai Chen Jing Yang Badong Chen S. Du 19 31 0 21 Jun 2022
Indirect-Instant Attention Optimization for Crowd Counting in Dense Scenes Suyu Han Guodong Wang Donghua Liu 16 1 0 12 Jun 2022
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
Self-supervised Domain Adaptation in Crowd Counting Pha Nguyen Thanh-Dat Truong Miaoqing Huang Yi Liang Ngan Le Khoa Luu SSL 36 12 0 07 Jun 2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting Jiaqi Gao Jingqi Li Hongming Shan Yanyun Qu J. Z. Wang Fei-Yue Wang Junping Zhang 30 19 0 06 May 2022
Counting in the 2020s: Binned Representations and Inclusive Performance Measures for Deep Crowd Counting Approaches Sravya Vardhani Shivapuja A. Gopinath Ayush Gupta Ganesh Ramakrishnan Ravi Kiran Sarvadevabhatla 19 0 0 10 Apr 2022
DR.VIC: Decomposition and Reasoning for Video Individual Counting Tao Han Lei Bai Junyuan Gao Qi. Wang Wanli Ouyang OT 36 23 0 23 Mar 2022
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting Min Shi Hao Lu Chen Feng Chengxin Liu Zhiguo Cao 22 84 0 16 Mar 2022
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP Mingjie Wang Jun Zhou Hao Cai Minglun Gong 20 29 0 15 Mar 2022
Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting Fusen Wang Kai Liu Fei Long Nong Sang Xiaofeng Xia J. Sang ViT 37 19 0 12 Mar 2022
Counting with Adaptive Auxiliary Learning Y. Meng J. Bridge Meng Wei Yitian Zhao Yihong Qiao Xiaoyun Yang Xiaowei Huang Yalin Zheng 16 4 0 08 Mar 2022
CrowdFormer: Weakly-supervised Crowd counting with Improved Generalizability Siddharth Singh Savner Vivek Kanhangad ViT 19 31 0 07 Mar 2022
Boosting Crowd Counting via Multifaceted Attention Hui Lin Zhiheng Ma Rongrong Ji Yaowei Wang Xiaopeng Hong 23 145 0 05 Mar 2022
FusionCount: Efficient Crowd Counting via Multiscale Feature Fusion Yiming Ma Victor Sanchez T. Guha 9 29 0 28 Feb 2022
An End-to-End Transformer Model for Crowd Localization Dingkang Liang Wei Xu Xiang Bai 15 114 0 26 Feb 2022
Reinforcing Local Feature Representation for Weakly-Supervised Dense Crowd Counting Xiaoshuang Chen Hongtao Lu SSL 17 6 0 22 Feb 2022
Domain Randomization for Object Counting Enric Moreu Kevin McGuinness Diego Ortego Noel E. O'Connor 14 4 0 17 Feb 2022
A Unified Multi-Task Learning Framework of Real-Time Drone Supervision for Crowd Counting Siqi Gu Z. Lian 11 12 0 08 Feb 2022
Scene-Adaptive Attention Network for Crowd Counting Xing Wei Yuanrui Kang Jihao Yang Yunfeng Qiu Dahu Shi Wenming Tan Yihong Gong ViT 27 18 0 31 Dec 2021
Object Counting: You Only Need to Look at One Hui Lin Xiaopeng Hong Yabin Wang 30 18 0 11 Dec 2021
PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting Xiaoshuang Chen Yiru Zhao Yu Qin Fei Jiang Mingyuan Tao Xiansheng Hua Hongtao Lu 3DPC 17 6 0 31 Oct 2021
LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds Qi. Wang Tao Han Junyuan Gao Yuan. Yuan Xuelong Li ObjD 47 6 0 10 Oct 2021
CCTrans: Simplifying and Improving Crowd Counting with Transformer Ye Tian Xiangxiang Chu Hongpeng Wang ViT 21 75 0 29 Sep 2021
Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting Sravya Vardhani Shivapuja M. Khamkar Divij Bajaj Ganesh Ramakrishnan Ravi Kiran Sarvadevabhatla 23 8 0 19 Aug 2021
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting Binghui Chen Zhaoyi Yan Ke Li Pengyu Li Biao Wang W. Zuo Lei Zhang 22 43 0 18 Aug 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 24 260 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 44 14 0 19 Jul 2021
Crowd Counting via Perspective-Guided Fractional-Dilation Convolution Zhaoyi Yan Ruimao Zhang Hongzhi Zhang Qingfu Zhang W. Zuo 21 44 0 08 Jul 2021
Direct Measure Matching for Crowd Counting Hui Lin Xiaopeng Hong Zhiheng Ma Xing Wei Yunfeng Qiu Yaowei Wang Yihong Gong OT 22 43 0 04 Jul 2021
Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism for Crowd Counting Yuehai Chen Jing Yang Dong-Ming Zhang Anton van den Hengel Badong Chen S. Du 16 17 0 23 Jun 2021
Hybrid attention network based on progressive embedding scale-context for crowd counting Fusen Wang J. Sang Zhongyuan Wu Qi Liu Nong Sang 25 24 0 04 Jun 2021
Rethinking Global Context in Crowd Counting Guolei Sun Yun-Hai Liu Thomas Probst D. Paudel Nikola Popovic Luc Van Gool ViT 23 17 0 23 May 2021