cvlab-stonybrook / DM-CountLinks
Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.
☆225Updated 3 years ago
Alternatives and similar repositories for DM-Count
Users that are interested in DM-Count are comparing it to the libraries listed below
Sorting:
- Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision☆337Updated 2 years ago
- The sample code for a large-scale crowd counting dataset, NWPU-Crowd.☆184Updated 4 years ago
- Official Code for Context-Aware Crowd Counting. CVPR 2019☆170Updated 5 years ago
- This is an simple implemention of Single-Image Crowd Counting via Multi-Column Convolutional Neural Network.☆74Updated 6 years ago
- Official implementation in PyTorch of SASNet as described in "To Choose or to Fuse? Scale Selection for Crowd Counting"☆86Updated 4 years ago
- The official implementation of "Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting"☆113Updated last year
- [IEEE TMM 23] Focal Inverse Distance Transform Maps for Crowd Localization☆191Updated 2 years ago
- Multi-level Attention Refined UNet for crowd counting☆38Updated 4 years ago
- The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes☆65Updated 4 years ago
- [SCIS 22] TransCrowd: Weakly-Supervised Crowd Counting with Transformers☆101Updated 2 years ago
- a survey for CNN-based crowd counting and density estimation☆68Updated 5 years ago
- Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting (ECCV2020)☆77Updated 4 years ago
- PyTorch implementations of the paper: "DR.VIC: Decomposition and Reasoning for Video Individual Counting, CVPR, 2022"☆58Updated 2 years ago
- This is an overview and tutorial about crowd counting. In this repository, you can learn how to estimate number of pedestrians in crowd s…☆182Updated 2 years ago
- Kernel-based Density Map Generation for Dense Object Counting☆26Updated 4 years ago
- A web tool for labeling pedestrians in an image, provideing two types of label: box and point.☆121Updated 7 months ago
- Official Implement of CVPR 2022 paper 'Boosting Crowd Counting via Multifaceted Attention'☆116Updated 3 months ago
- ☆42Updated 4 years ago
- PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"☆181Updated 9 months ago
- This is an unofficial implement of the arXiv paper Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting by PyTorch.☆50Updated 6 years ago
- The code for "SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting"☆16Updated 5 years ago
- RGBD crowd counting☆41Updated 3 years ago
- [CVPR 2022] Rethinking Spatial Invariance of Convolutional Networks for Object Counting☆63Updated last year
- A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds☆39Updated 4 months ago
- code-visualization-pytorch☆63Updated 6 years ago
- official implementation of the CVPR21 paper "A Generalized Loss Function for Crowd Counting and Localization"☆33Updated 9 months ago
- Pytorch implementation of SGANet for crowd counting☆20Updated 2 years ago
- The simple implemention of CSRNet.☆50Updated 5 years ago
- A simple yet effective crowd counting and localization network (SCALNet)☆26Updated 4 years ago
- We collected 100 videos captured from 13 different scenes, and FDST dataset contains 150,000 frames, with a total of 394,081 annotated he…☆37Updated 6 years ago