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30 search results found

Ailia Models ⭐ 1,708

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Fchd Fully Convolutional Head Detector ⭐ 560

Code for FCHD - A fast and accurate head detector

C 3 Framework ⭐ 501

An open-source PyTorch code for crowd counting

Crowdcount Mcnn ⭐ 337

Single Image Crowd Counting via MCNN (Unofficial Implementation)

Lsc Cnn ⭐ 193

Crowdcount Cascaded Mtl ⭐ 152

Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)

Smart City Sample ⭐ 150

The smart city reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for traffic or stadium sensing, analytics and management tasks.

Gcc Sfcn ⭐ 128

This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].

Crowdflow ⭐ 92

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

Boosting Crowd Counting Via Multifaceted Attention ⭐ 87

Official Implement of CVPR 2022 paper 'Boosting Crowd Counting via Multifaceted Attention'

PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"

Crowd Counting Using Tensorflow ⭐ 79

Tensorflow implementation of crowd counting using CNNs from overhead surveillance cameras.

mscnn crowd counting model implementation, source from "Multi-scale Convolution Neural Networks for Crowd Counting" write by Zeng L, Xu X, Cai B, et al.

Crowd_counting_from_scratch ⭐ 63

This is an overview and tutorial about crowd counting. In this repository, you can learn how to estimate number of pedestrians in crowd scenes through computer vision and deep learning.

Context Aware Crowd Counting ⭐ 56

Official Code for Context-Aware Crowd Counting. CVPR 2019

Nwpu Crowd Sample Code ⭐ 53

The sample code for a large-scale crowd counting dataset, NWPU-Crowd.

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

Acscp_cgan ⭐ 33

Code implementation for paper that "ACSCS: Crowd Counting via Adversarial Cross-Scale Consistency Pursuit"; This is method of Crowd counting by conditional generation adversarial networks

Counting ⭐ 30

Implementation of AMDCN, a convolutional neural network for counting objects in images.

[ICCV 2023] Point-Query Quadtree for Crowd Counting, Localization, and More

Crowd_counting_tensorflow ⭐ 26

Code of CVPR 2016 work of Single Image Crowd Counting using Multi-Column CNN

People Flows ⭐ 26

The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes

Dense Scale Network For Crowd Counting ⭐ 22

An unofficial implement of paper "Dense Scale Network for Crowd Counting", link: https://arxiv.org/abs/1906.09707

STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning, ICCV, 2023

Pyramidscalenetwork ⭐ 17

To the best of our knowledge, this is the first work to explicitly address feature similarity issue in multi-column design. Extensive experiments on four challenging benchmarks (ShanghaiTech, UCF_CC_50, UCF-QNRF, and Mall) demonstrate the effectiveness of the proposed innovations as well as the superior performance over the state-of-the-art. More remarkably, our method can be easily applied to other existing multi-column models as a plug-in to significantly boost the performance to a large exten

Pytorch Acscp ⭐ 17

Unofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018

Unofficial Pytorch implementation of S-DCNet and SS-DCNet

Bincrowd ⭐ 15

Official Implementation of ACMMM'21 paper "Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting"

Crowd Counting With Mcnns ⭐ 15

Crowd counting on the ShanghaiTech dataset, using multi-column convolutional neural networks.

Sganet Crowd Counting ⭐ 15

Pytorch implementation of SGANet for crowd counting

Keras Mcnn ⭐ 14

keras实现的人群密度检测网络"Single Image Crowd Counting via Multi Column Convolutional Neural Network"，欢迎试用、关注并反馈问题...

Multi-level Attention Refined UNet for crowd counting

Asd Crowd Counting ⭐ 12

An unofficial implementation of the ICASSP 2019 paper Adaptive Scenario Discovery for Crowd Counting by PyTorch.

Efficient Crowd Counting via Structured Knowledge Transfer (SKT, ACM MM 2020)

LWCC: A LightWeight Crowd Counting library for Python that includes several pretrained state-of-the-art models.

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