An unofficial implement of paper "Dense Scale Network for Crowd Counting", link: https://arxiv.org/abs/1906.09707
☆30Dec 21, 2021Updated 4 years ago
Alternatives and similar repositories for Dense-Scale-Network-for-Crowd-Counting
Users that are interested in Dense-Scale-Network-for-Crowd-Counting are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official Code for Context-Aware Crowd Counting. CVPR 2019☆172Jan 6, 2020Updated 6 years ago
- Deep Density-aware Count Regressor: a state-of-the-art method for crowd counting☆27Feb 15, 2020Updated 6 years ago
- ☆14Dec 11, 2020Updated 5 years ago
- ☆11Mar 6, 2022Updated 4 years ago
- Code for Short Text Topic Modeling with Flexible Word Patterns (IJCNN2019)☆23Jul 30, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆11Mar 16, 2019Updated 7 years ago
- SANet implement by pytorch☆13Jan 8, 2019Updated 7 years ago
- (ECCV'20) Weighing Counts: Sequential Crowd Counting by Reinforcement Learning☆25Dec 2, 2020Updated 5 years ago
- Residual Regression with Semantic Prior for Crowd Counting☆16Aug 22, 2019Updated 6 years ago
- ☆18Mar 18, 2021Updated 5 years ago
- ICCV2021: Code for 'Spatial Uncertainty-Aware Semi-Supervised Crowd Counting'☆19Oct 18, 2021Updated 4 years ago
- Kernel-based Density Map Generation for Dense Object Counting☆26Dec 8, 2020Updated 5 years ago
- Crowd Counting with Deep Structured Scale Integration Network☆59Oct 29, 2019Updated 6 years ago
- This is an unofficial implement of the arXiv paper Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting by PyTorch.☆50Jul 5, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for Learning Multilingual Topics with Neural Variational Inference (NLPCC2020)☆17Mar 6, 2024Updated 2 years ago
- ☆13Mar 1, 2021Updated 5 years ago
- [IJCV 22] An implementation of AutoScale localization-based method☆29Jan 7, 2022Updated 4 years ago
- Code for Discovering Topics in Long-tailed Corpora with Causal Intervention (ACL findings2021)☆17Mar 6, 2024Updated 2 years ago
- An open-source PyTorch code for crowd counting☆730Mar 30, 2024Updated 2 years ago
- ☆43Mar 5, 2021Updated 5 years ago
- Code for Perspective-Guided Convolution Networks for Crowd Counting (ICCV 2019)☆43Jul 6, 2021Updated 4 years ago
- Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting https://arxiv.org/abs/2108.08023…☆22Sep 9, 2021Updated 4 years ago
- Implementaion of S-DCNet (ICCV 2019)☆134Jul 6, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- The implementation of Context-Aware Crowd Counting(CVPR2019)☆68Jun 14, 2019Updated 7 years ago
- ☆13May 24, 2018Updated 8 years ago
- ☆10Mar 15, 2022Updated 4 years ago
- A web tool for labeling pedestrians in an image, provideing two types of label: box and point.☆122Dec 27, 2024Updated last year
- The codes for CVPR-2018 paper "Crowd Counting with Deep Negative Correlation Learning"☆53Dec 23, 2019Updated 6 years ago
- Code for the paper "Leveraging Self-Supervision for Cross-Domain Crowd Counting"(CVPR 2022)☆14May 4, 2022Updated 4 years ago
- CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes☆729Oct 19, 2023Updated 2 years ago
- From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting☆80Jul 6, 2023Updated 2 years ago
- AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting (TMM 2021)☆10Feb 24, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting (ECCV2020)☆76Oct 8, 2020Updated 5 years ago
- Official Implementation of ACMMM'21 paper "Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting"☆16May 17, 2022Updated 4 years ago
- RGBD crowd counting☆42Jun 23, 2022Updated 3 years ago
- Crowd Counting☆24Mar 3, 2022Updated 4 years ago
- The codes for ¨Multiscale Multitask Deep NetVLAD for Crowd Counting¨ published on IEEE Transactions on Industrial Informatics☆10Oct 23, 2018Updated 7 years ago
- Official implementation in PyTorch of SASNet as described in "To Choose or to Fuse? Scale Selection for Crowd Counting"☆92Mar 29, 2021Updated 5 years ago
- Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder (EMNLP2020).☆42Mar 6, 2024Updated 2 years ago