From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer

15 August 2019

Zhiguo Cao

Chunhua Shen

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Papers citing "From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer"

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Title
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification Yiming Ma Victor Sanchez T. Guha 43 3 0 14 Mar 2024
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning Tao Han Lei Bai Lin Liu Wanli Ouyang 24 36 0 21 Aug 2023
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model Dingkang Liang Jiahao Xie Zhikang Zou Xiaoqing Ye Wei Xu Xiang Bai SSL CLIP VLM 31 52 0 09 Apr 2023
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
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
Redesigning Multi-Scale Neural Network for Crowd Counting Zhipeng Du Miaojing Shi Jiankang Deng S. Zafeiriou 28 44 0 04 Aug 2022
Discrete-Constrained Regression for Local Counting Models Haipeng Xiong Angela Yao 19 24 0 20 Jul 2022
End-to-end cell recognition by point annotation Zhongyi Shui Shichuan Zhang Chenglu Zhu Bingchuan Wang Pingyi Chen S. Zheng Lin Yang 17 10 0 01 Jul 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
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
SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard Example Focusing Jiwei Chen Kewei Wang Wen Su Zengfu Wang 24 10 0 15 Apr 2022
CCTrans: Simplifying and Improving Crowd Counting with Transformer Ye Tian Xiangxiang Chu Hongpeng Wang ViT 21 75 0 29 Sep 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 27 260 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
Leveraging Self-Supervision for Cross-Domain Crowd Counting Weizhe Liu N. Durasov Pascal Fua 22 40 0 30 Mar 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 37 41 0 18 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
Distribution Matching for Crowd Counting Boyu Wang Huidong Liu Dimitris Samaras Minh Hoai OT 38 282 0 28 Sep 2020
Distortion-Adaptive Grape Bunch Counting for Omnidirectional Images R. Akai Yuzuko Utsumi Y. Miwa Masakazu Iwamura K. Kise 18 4 0 28 Aug 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
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 22 112 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
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting Pongpisit Thanasutives Ken-ichi Fukui M. Numao B. Kijsirikul 27 63 0 12 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
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
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 200 1,708 0 06 Jun 2018
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015