From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting
☆80Jul 6, 2023Updated 2 years ago
Alternatives and similar repositories for SS-DCNet
Users that are interested in SS-DCNet are comparing it to the libraries listed below
Sorting:
- Implementaion of S-DCNet (ICCV 2019)☆134Jul 6, 2023Updated 2 years ago
- Crowd Counting with Deep Structured Scale Integration Network☆58Oct 29, 2019Updated 6 years ago
- Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting (ECCV2020)☆77Oct 8, 2020Updated 5 years ago
- ☆19Mar 18, 2021Updated 4 years ago
- Unofficial Pytorch implementation of S-DCNet and SS-DCNet☆18May 4, 2025Updated 10 months ago
- PyTorch implementations of the paper: "Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting. (T-NNLS, 2021)..."☆16Apr 2, 2021Updated 4 years ago
- (ECCV'20) Weighing Counts: Sequential Crowd Counting by Reinforcement Learning☆25Dec 2, 2020Updated 5 years ago
- Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision☆344Jul 4, 2023Updated 2 years ago
- This is an unofficial implement of the arXiv paper Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting by PyTorch.☆51Jul 5, 2019Updated 6 years ago
- Code for Perspective-Guided Convolution Networks for Crowd Counting (ICCV 2019)☆43Jul 6, 2021Updated 4 years ago
- ☆13May 24, 2018Updated 7 years ago
- ☆213Nov 22, 2022Updated 3 years ago
- [IJCV 22] An implementation of AutoScale localization-based method☆29Jan 7, 2022Updated 4 years ago
- The code for "SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting"☆17Feb 29, 2020Updated 6 years ago
- a survey for CNN-based crowd counting and density estimation☆69Apr 2, 2020Updated 5 years ago
- Official implementation in PyTorch of SASNet as described in "To Choose or to Fuse? Scale Selection for Crowd Counting"☆90Mar 29, 2021Updated 4 years ago
- The official implementation of "Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting"☆113Mar 31, 2024Updated last year
- ☆43Mar 5, 2021Updated 5 years ago
- To the best of our knowledge, this is the first work to explicitly address feature similarity issue in multi-column design. Extensive exp…☆18Jan 17, 2021Updated 5 years ago
- learning paper the CVPR2019 with Crowd_Counting☆26Mar 9, 2020Updated 5 years ago
- This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].☆162Sep 4, 2019Updated 6 years ago
- The implementation of Context-Aware Crowd Counting(CVPR2019)☆68Jun 14, 2019Updated 6 years ago
- Official Code for Context-Aware Crowd Counting. CVPR 2019☆171Jan 6, 2020Updated 6 years ago
- ☆14Dec 11, 2020Updated 5 years ago
- Official Implementation of ACMMM'21 paper "Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting"☆16May 17, 2022Updated 3 years ago
- The sample code for a large-scale crowd counting dataset, NWPU-Crowd.☆673Sep 24, 2020Updated 5 years ago
- Multi-level Attention Refined UNet for crowd counting☆38Mar 31, 2021Updated 4 years ago
- Code for the paper "Leveraging Self-Supervision for Cross-Domain Crowd Counting"(CVPR 2022)☆14May 4, 2022Updated 3 years ago
- RGBD crowd counting☆42Jun 23, 2022Updated 3 years ago
- Deep Density-aware Count Regressor: a state-of-the-art method for crowd counting☆27Feb 15, 2020Updated 6 years ago
- Implementation for CODA☆27Aug 11, 2019Updated 6 years ago
- Awesome Crowd Counting☆2,576Jan 24, 2026Updated last month
- Implementation for "Completely Self-Supervised Crowd Counting via Distribution Matching" (http://arxiv.org/abs/2009.06420)☆29Sep 29, 2020Updated 5 years ago
- An unofficial implement of paper "Dense Scale Network for Crowd Counting", link: https://arxiv.org/abs/1906.09707☆30Dec 21, 2021Updated 4 years ago
- Official code for Crowd Counting via Cross-stage Refinement Networks. TIP 2020☆17Jun 5, 2020Updated 5 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…☆186Mar 27, 2023Updated 2 years ago
- CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes☆718Oct 19, 2023Updated 2 years ago
- The simple implemention of CSRNet.☆51Dec 12, 2019Updated 6 years ago
- Fast computing density maps for ShanghaiTech and other datasets☆52Nov 3, 2018Updated 7 years ago