gjy3035 / GCC-SFCN
This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].
☆161Updated 5 years ago
Alternatives and similar repositories for GCC-SFCN:
Users that are interested in GCC-SFCN are comparing it to the libraries listed below
- Code for Counting with Focus for Free, ICCV, 2019☆93Updated 5 years ago
- GCC dataset Collector and Labeler (GCC CL) [CVPR2019]☆136Updated last year
- Implementaion of S-DCNet (ICCV 2019)☆134Updated last year
- The rep for the Crowd Counting paper accepted by CVPR 2018☆102Updated 5 years ago
- Crowd Counting with Deep Structured Scale Integration Network☆57Updated 5 years ago
- ☆211Updated 2 years ago
- Code implementation for paper that "ACSCS: Crowd Counting via Adversarial Cross-Scale Consistency Pursuit"; This is method of Crowd cou…☆35Updated 4 years ago
- The implementation of Context-Aware Crowd Counting(CVPR2019)☆68Updated 5 years ago
- Fast computing density maps for ShanghaiTech and other datasets☆53Updated 6 years ago
- PCC Net: Perspective Crowd Counting via Spatial Convolutional Network☆75Updated 4 years ago
- Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)☆197Updated 6 years ago
- Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting (ECCV2020)☆75Updated 4 years ago
- PyTorch implementation of Stacked Pooling for Boosting Scale Invariance of Crowd Counting (ICASSP 2020)☆86Updated 4 years ago
- CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes☆35Updated 6 years ago
- Repulsion Loss: Detecting Pedestrians in a Crowd. https://arxiv.org/abs/1711.07752☆235Updated 6 years ago
- This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SC…☆147Updated 5 years ago
- Unofficially Pytorch implementation of High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection☆115Updated 5 years ago
- From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting☆79Updated last year
- Official Code for Context-Aware Crowd Counting. CVPR 2019☆166Updated 5 years ago
- ☆123Updated 5 years ago
- Pytorch implementation of Repulsion Loss on RetinaNet☆97Updated 6 years ago
- Mask-Guided Attention Network for Occluded Pedestrian Detection. (ICCV'19)☆131Updated 4 years ago
- Code for Perspective-Guided Convolution Networks for Crowd Counting (ICCV 2019)☆43Updated 3 years ago
- Crowd Counting Via Scale-adaptive Convolutional Neural Network☆107Updated 5 years ago
- Scale Normalization for Image Pyramids☆171Updated 6 years ago
- Codebase of the paper "Feature Intertwiner for Object Detection", ICLR 2019☆107Updated 5 years ago
- The codes for CVPR-2018 paper "Crowd Counting with Deep Negative Correlation Learning"☆54Updated 5 years ago
- ☆42Updated 3 years ago
- I combine trident net and refinedet to detect objects of different scales at the same time in one forward propagation☆91Updated 5 years ago
- support different SSDs and different scale test, support refineDet.☆148Updated 5 years ago