2017_cite=848_CVPR_Switching convolutional neural network for crowd counting
val-iisc/crowd-counting-scnn
mrlzla/crowd_density_estimator
2018_Cite=490_ECCV_Cao——Scale Aggregation Network for Accurate and Efficient Crowd Counting
1ZhengPeng7/SANet-Keras
Counting_With_Adaptive_Auxiliary_Learning
smallmax00/Counting_With_Adaptive_Auxiliary_Learning
https://github.com/TencentYoutuResearch/CrowdCounting-UEPNet
Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting.
https://github.com/MRJTM/SGEANet
Synthetic Guided Domain Adaptive and Edge Aware Network for Crowd Counting
两个模型都实现了 CSRNet or our SGEANet ,数据集:ShanghaiTech dataset
Learning Independent Instance Maps for Crowd Localization
taohan10200/IIM
ECCV
Completely Self-Supervised Crowd Counting via Distribution Matching
val-iisc/css-ccnn
Exploit the potential of Multi-column architecture for Crowd Counting
daimuuc/PyramidScaleNetwork
https://github.com/pxq0312/SFANet-crowd-counting
Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting
2020_Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting
1Pongpisit-Thanasutives/Variations-of-SFANet-for-Crowd-Counting
1HuynhKEn/Variations-of-SFANet-for-Crowd-Counting
2019_Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss 1hellowangqian/sganet-crowd-counting
2022_FusionCount: Efficient Crowd Counting via Multiscale Feature Fusion
11 YimingMa/FusionCount
S2FPR: Crowd Counting via Self-Supervised Coarse to Fine Feature Pyramid Ranking
bridgeqiqi/S2FPR
https://github.com/pxq0312/ASD-crowd-counting
Adaptive Scenario Discovery for Crowd Counting
2017_Cite=478_Sindagi——CNN-Based cascaded multi-task learning of high-level prior and density estimation for crowd counting
https://ieeexplore.ieee.org/abstract/document/8078491
1svishwa/crowdcount-cascaded-mtl
surajdakua/Crowd-Counting-Using-Pyt…
中文翻译:https://github.com/xr0927/chapter8-translate-papers/blob/master/crowdcount-cascaded%E7%BF%BB%E8%AF%91.pdf
2017_Cite=843_Babu——Switching Convolutional Neural Network for Crowd Counting
https://github.com/val-iisc/crowd-counting-scnn
surajdakua/Crowd-Counting-Using-Pyt…
2020_Cite=137_Sam——Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection.
https://github.com/val-iisc/lsc-cnn
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery
gpspelle/Crowd-Counting
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://paperswithcode.com/paper/segnet-a-deep-convolutional-encoder-decoder#code
Densely Connected Convolutional Networks
https://paperswithcode.com/paper/densely-connected-convolutional-networks
Deep Residual Learning for Image Recognition
https://paperswithcode.com/paper/deep-residual-learning-for-image-recognition#code
Distribution Matching for Crowd Counting
cvlab-stonybrook/DM-Count
Crowd Counting via Adversarial Cross-Scale Consistency Pursuit
RQuispeC/pytorch-ACSCP
[AMDCN] An Aggregated Multicolumn Dilated Convolution Network for Perspective-Free Counting (CVPRW) [paper] [code]
diptodip/counting
[D-ConvNet] Crowd Counting with Deep Negative Correlation Learning (CVPR) [paper] [code]
2021_Cite=22_非顶会_Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation
STDNet/STDNet
Few-shot Object Counting with Similarity-Aware Feature Enhancement
1 zhiyuanyou/SAFECount
[ChfL] Crowd Counting in the Frequency Domain (CVPR) [paper][code]
wbshu/Crowd_Counting_in_the_Frequency_Domain
[DR.VIC] DR.VIC: Decomposition and Reasoning for Video Individual Counting (CVPR) [paper][code]
taohan10200/DRNet
[MAN] Boosting Crowd Counting via Multifaceted Attention (CVPR) [paper][code]
LoraLinH/Boosting-Crowd-Counting-via-Multifaceted-Attention
[BLA] Bi-level Alignment for Cross-Domain Crowd Counting (CVPR) [paper][code]
Yankeegsj/BLA
[BMNet] Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting (CVPR)[paper][code]
flyinglynx/Bilinear-Matching-Network
[IS-Count] IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling (AAAI) [paper][code]
sustainlab-group/IS-Count
[MPS] Multiscale Crowd Counting and Localization By Multitask Point Supervision (ICASSP) [paper][code]
RCVLab-AiimLab/crowd_counting
[TAFNet] TAFNet: A Three-Stream Adaptive Fusion Network for RGB-T Crowd Counting (ISCAS) [paper][code]
[DEFNet] DEFNet: Dual-Branch Enhanced Feature Fusion Network for RGB-T Crowd Counting (TITS)[paper][code]
panyi95/DEFNet
[LibraNet+DQN] Counting Crowd by Weighing Counts: A Sequential Decision-Making Perspective (T-NNLS) [paper][code](extension of LibraNet)
poppinace/libranet
[FIDTM] Focal Inverse Distance Transform Maps for Crowd Localization (TMM)[paper] [code][project]
dk-liang/FIDTM
[GNA] Video Crowd Localization with Multi-focus Gaussian Neighborhood Attention and a Large-Scale Benchmark (TMM)[paper][code]
HopLee6/VSCrowd-Dataset
[TransCrowd] TransCrowd: Weakly-Supervised Crowd Counting with Transformer (Science China Information Sciences) [paper] [code]
dk-liang/TransCrowd
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
xialeiliu/CrowdCountingCVPR18
surajdakua/Crowd-Counting-Using-Pyt…
[L2R] Leveraging Unlabeled Data for Crowd Counting by Learning to Rank (CVPR) [paper] [code
[D-ConvNet] Crowd Counting with Deep Negative Correlation Learning (CVPR) [paper] [code]
shizenglin/Deep-NCL
2019_CIte=429_CVPR_Liu——Context-Aware Crowd Counting
https://arxiv.org/pdf/1811.10452.pdf
官方实现:weizheliu/Context-Aware-Crowd-Counting
非官方实现:CommissarMa/Context-Aware_Crowd_Counting-pytorch
论文解析:xr0927/chapter9-learnCVPR2019-Context-Aware_Crowd_Counting
论文解析PDF版:xr0927/chapter8-translate-papers/blob/master/CVPR2019%E7%BF%BB%E8%AF%91Context-Aware_Crowd_Counting.pdf
数的是人流量
2020_Cite=27_ECCV_Liu——Estimating People Flows to Better Count Them in Crowded Scenes
2021_Cite=12_TPAMI_Liu——Counting People by Estimating People Flows
https://github.com/weizheliu/People-Flows
Spatio-channel Attention Blocks for Cross-modal Crowd Counting (ACCV)
VCLLab/CSCA
[CDCC] Leveraging Self-Supervision for Cross-Domain Crowd Counting (CVPR) [paper][code]
weizheliu/Cross-Domain-Crowd-Counting
2022_Cite=5_CVPR_Liu——Leveraging Self-Supervision for Cross-Domain Crowd Countin
W-Net: Reinforced U-Net for Density Map Estimation
ZhengPeng7/W-Net-Keras
2019_Cite=136_ICCV_Xiong——From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer
官方实现: xhp-hust-2018-2011/S-DCNet
其他人实现
karanjsingh/S-DCNet_CrowdCount
dmburd/S-DCNet
基于这个网络基础上做了改进-Crowd-DCNet: MohamedAliRashad/Crowd-DCNet
讲解和运行指南:jani-excergy/Crowd_Density_Estimation
2020_Cite=6_非顶刊_Xiong——From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting
https://github.com/xhp-hust-2018-2011/SS-DCNet
Improving Object Counting with Heatmap Regulation
littleaich/heatmap-regulation
[DMBA] Backdoor Attacks on Crowd Counting (ACM MM) [paper][code]
Nathangitlab/Backdoor-Attacks-on-Crowd-Counting
[DACount] Semi-supervised-Crowd-Counting-via-Density-Agency (ACM MM) [paper][code]
LoraLinH/Semi-supervised-Crowd-Counting-via-Density-Agency
2022_Cite=1_ECCV_Xiong——Discrete-Constrained Regression for Local Counting Models
https://github.com/xhp-hust-2018-2011/dcreg
JHU数据集
https://github.com/CS3244-AY2021-SEM-1/smc
[SUA] Spatial Uncertainty-Aware Semi-Supervised Crowd Counting (ICCV) [paper][code]
smallmax00/SUA_crowd_counting
[DKPNet] Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting (ICCV) [paper][code]
Zhaoyi-Yan/DKPNet
[BinLoss] Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting (ACM MM) [paper][code]
atmacvit/bincrowd
[APAM] Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting (ACM MM) [paper][code]
harrywuhust2022/Adv-Crowd-analysis
[C2MoT] Dynamic Momentum Adaptation for Zero-Shot Cross-Domain Crowd Counting (ACM MM) [paper][code]
jimmy-dq/C2MOT
[STANet] Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark (CVPR) [paper][code]
https://github.com/VisDrone/DroneCrowd
里面有
[RGBT-CC] Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting (CVPR) [paper][code][Project]
chen-judge/RGBTCrowdCounting
作者写的模型网站主页:http://lingboliu.com/RGBT_Crowd_Counting.html
RGBT Crowd Counting数据集官方实现代码
[EDIREC-Net] Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting (AAAI) [paper][code]
GehenHe/EDIREC-Net
[TopoCount] Localization in the Crowd with Topological Constraints (AAAI) [paper][code]
ShahiraAbousamra/TopoCount
[CFANet] Coarse- and Fine-grained Attention Network with Background-aware Loss for Crowd Density Map Estimation (WACV) [paper][code]
rongliangzi/MARUNet
[CFOCNet] Class-agnostic Few-shot Object Counting (WACV) [paper][code]
SinicaGroup/Class-agnostic-Few-shot-Object-Counting
[SCALNet] Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization (ICMEW) [paper][code]
WangyiNTU/SCALNet
[DSNet] Dense Scale Network for Crowd Counting (ICMR) [paper][unofficial code: PyTorch]
rongliangzi/Dense-Scale-Network-for-Crowd-Counting
[DPDNet] Locating and Counting Heads in Crowds With a Depth Prior (T-PAMI) [paper] [code]
svip-lab/Locating_Counting_with_a_Depth_Prior
[EPF] Counting People by Estimating People Flows (TPAMI) [paper][code]
weizheliu/People-Flows
[AutoScale] AutoScale: Learning to Scale for Crowd Counting (IJCV) [paper] (extension of L2SM)[code]
dk-liang/AutoScale
[DSACA] Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting (SPL) [paper][code]
PRIS-CV/DSACA
[NLT] Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting (T-NNLS) [paper] [code]]
taohan10200/NLT
[D2C] Decoupled Two-Stage Crowd Counting and Beyond (TIP) [paper][code]
hustaia/Decoupled_Two-stage_Counting
[PSODC] A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds (TIP) [paper][code]
WangyiNTU/Point-supervised-crowd-detection
[AdaCrowd] AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting (TMM) [paper][code
maheshkkumar/adacrowd
[DCANet] Towards Learning Multi-domain Crowd Counting (T-CSVT) [paper] [code]
Zhaoyi-Yan/DCANet
[DM-Count] Distribution Matching for Crowd Counting (NeurIPS) [paper][code]
cvlab-stonybrook/DM-Count
[SKT] Efficient Crowd Counting via Structured Knowledge Transfer (ACM MM(oral)) [paper][code]
HCPLab-SYSU/SKT
[EPF] Estimating People Flows to Better Count Them in Crowded Scenes (ECCV) [paper][code]
weizheliu/People-Flows
[AMRNet] Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting (ECCV) [paper][code]
xiyang1012/Local-Crowd-Counting
[LibraNet] Weighting Counts: Sequential Crowd Counting by Reinforcement Learning (ECCV) [paper][code]
poppinace/libranet
[ASNet] Attention Scaling for Crowd Counting (CVPR) [paper] [code]
laridzhang/ASNet
[EDC] Learning Error-Driven Curriculum for Crowd Counting (ICPR) [paper][code]
FDU-VTS/TutorNet_Crowd_Counting
[Stacked-Pool] Stacked Pooling For Boosting Scale Invariance Of Crowd Counting (ICASSP) [paper] [arxiv] [code]
siyuhuang/crowdcount-stackpool
[FSSA] Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning (WACV) [paper][code]
maheshkkumar/fscc
[KDMG] Kernel-based Density Map Generation for Dense Object Counting (T-PAMI) [paper][code]
jia-wan/KDMG_Counting
[LSC-CNN] Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection (T-PAMI) [paper][code]
val-iisc/lsc-cnn
[CRNet] Crowd Counting via Cross-stage Refinement Networks (TIP) [paper][code]
yongtuoliu/Crowd-Counting-via-Cross-stage-Refinement-Networks
[DCL] Density-aware Curriculum Learning for Crowd Counting (TCYB) [paper][code
Elin24/DCL-CrowdCounting
[DENet] DENet: A Universal Network for Counting Crowd with Varying Densities and Scales (TMM) [paper][code]
liuleiBUAA/DENet
[MobileCount] MobileCount: An Efficient Encoder-Decoder Framework for Real-Time Crowd Counting (Neurocomputing) [conference paper] [journal paper] [code]
ChenyuGAO-CS/MobileCount
[MH-METRONET] MH-MetroNet—A Multi-Head CNN for Passenger-Crowd Attendance Estimation (JImaging) [paper][code]
https://bitbucket.org/isasi-lecce/mh-metronet/src/master/
[PGCNet] Perspective-Guided Convolution Networks for Crowd Counting (ICCV) [paper][code]
Zhaoyi-Yan/PGCNet
[DSSINet] Crowd Counting with Deep Structured Scale Integration Network (ICCV) [paper][code]
Legion56/Counting-ICCV-DSSINet
[CFF] Counting with Focus for Free (ICCV) [paper][code]
shizenglin/Counting-with-Focus-for-Free
[RDNet] Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization (CVPR) [paper][code]
svip-lab/RGBD-Counting
RRSP] Residual Regression with Semantic Prior for Crowd Counting (CVPR) [paper][code]
jia-wan/ResidualRegression-pytorch
[MVMS] Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs (CVPR) [paper] [Project] [Dataset&Code]
zqyq/Wide-Area-Crowd-Counting_CVPR2019
[CODA] CODA: Counting Objects via Scale-aware Adversarial Density Adaption (ICME) [paper][code]
Willy0919/CODA
[PCC-Net] PCC Net: Perspective Crowd Counting via Spatial Convolutional Network (T-CSVT) [paper] [code]
gjy3035/PCC-Net
2017_Cite=179_ICIP_Multi-scale convolutional neural networks for crowd counting
论文:https://ieeexplore.ieee.org/abstract/document/8296324
代码:https://github.com/Ling-Bao/mscnn
解读这个模型的博客:https://blog.dimroc.com/2017/11/19/counting-crowds-and-lines/;这个博客作者实现的代码:https://github.com/dimroc/count
2018_Cite=228_ WACV_Zhang——Crowd counting via scale-adaptive convolutional neural network
1miao0913/SaCNN-CrowdCounting-Tencent_Youtu
2018_Cite=313_CVPR_Shen——Crowd counting via adversarial cross-scale consistency pursuit
1RQuispeC/pytorch-ACSCP
2018_Cite=243_CVPR_Shi——Crowd Counting With Deep Negative Correlation Learning
[D-ConvNet] Crowd Counting with Deep Negative Correlation Learning (CVPR) [paper] [code]
shizenglin/Deep-NCL
[CAC] Class-Agnostic Counting (ACCV) [paper] [code]
erikalu/class-agnostic-counting
[SaCNN] Crowd counting via scale-adaptive convolutional neural network (WACV) [paper] [code]
miao0913/SaCNN-CrowdCounting-Tencent_Youtu
[NetVLAD] Multiscale Multitask Deep NetVLAD for Crowd Counting (TII) [paper] [code]
shizenglin/Multitask-Multiscale-Deep-NetVLAD
[DA-Net] DA-Net: Learning the Fine-Grained Density Distribution With Deformation Aggregation Network (IEEE Access) [paper][code]
BigTeacher-777/DA-Net-Crowd-Counting
aditya-vora/crowd_counting_tensorflow
[MSCNN] Multi-scale Convolution Neural Networks for Crowd Counting (ICIP) [paper] [code]
Ling-Bao/mscnn
讲解这个模型的博文:https://blog.dimroc.com/2017/11/19/counting-crowds-and-lines/
[CNN-MRF] Image Crowd Counting Using Convolutional Neural Network and Markov Random Field (JACII) [paper] [code]
imkanghan/crowd-counting
[CrowdNet] CrowdNet: A Deep Convolutional Network for Dense Crowd Counting (ACMMM) [paper] [code]
davideverona/deep-crowd-counting_crowdnet
[Zhang 2015] Cross-scene Crowd Counting via Deep Convolutional Neural Networks (CVPR) [paper] [code]
wk910930/crowd_density_segmentation
[Hydra-CNN] Towards perspective-free object counting with deep learning (ECCV) [paper] [code]
gramuah/ccnn
[CrowdNet] CrowdNet: A Deep Convolutional Network for Dense Crowd Counting (ACMMM) [paper] [code]
[SCAR] SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting (Neurocomputing) [paper][code]
gjy3035/SCAR
Deep Density-aware Count Regressor
[DeepCount] Deep Density-aware Count Regressor (ECAI) [paper][code]
https://arxiv.org/abs/1908.03314
GeorgeChenZJ/deepcount
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions
qingzwang/AudioVisualCrowdCounting
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network
https://github.com/VisDrone/DroneCrowd
[LCFCN] Where are the Blobs: Counting by Localization with Point Supervision (ECCV) [paper] [code]
ServiceNow/LCFCN
gaoguangshuai/Counting-from-Sky-A-Large-scale-Dataset-for-Remote-Sensing-Object-Counting-and-A-Benchmark-Method
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method
gaoguangshuai/PSGCNet
A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing Image