S-DCNetUnofficial Pytorch implementation of S-DCNet and SS-DCNet
Stars: ✭ 17 (-26.09%)
Mutual labels: crowd-counting, crowd-analysis
NWPU-Crowd-Sample-CodeThe sample code for a large-scale crowd counting dataset, NWPU-Crowd.
Stars: ✭ 140 (+508.7%)
Mutual labels: crowd-counting, crowd-analysis
IIMPyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"
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Mutual labels: crowd-counting, crowd-analysis
CrowdFlowOptical Flow Dataset and Benchmark for Visual Crowd Analysis
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Mutual labels: crowd-counting, crowd-analysis
Awesome Crowd CountingAwesome Crowd Counting
Stars: ✭ 1,720 (+7378.26%)
Mutual labels: crowd-counting, crowd-analysis
PCC-NetPCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Stars: ✭ 63 (+173.91%)
Mutual labels: crowd-counting, crowd-analysis
ACSCP cGANCode implementation for paper that "ACSCS: Crowd Counting via Adversarial Cross-Scale Consistency Pursuit"; This is method of Crowd counting by conditional generation adversarial networks
Stars: ✭ 36 (+56.52%)
Mutual labels: crowd-counting
Variations-of-SFANet-for-Crowd-CountingThe official implementation of "Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting"
Stars: ✭ 78 (+239.13%)
Mutual labels: crowd-counting
PyramidScaleNetworkTo 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. Mor…
Stars: ✭ 17 (-26.09%)
Mutual labels: crowd-counting
ailia-modelsThe collection of pre-trained, state-of-the-art AI models for ailia SDK
Stars: ✭ 1,102 (+4691.3%)
Mutual labels: crowd-counting
crowd-countingImage Crowd Counting Using Convolutional Neural Network and Markov Random Field
Stars: ✭ 32 (+39.13%)
Mutual labels: crowd-counting
W-Net-KerasAn unofficial implementation of W-Net for crowd counting.
Stars: ✭ 20 (-13.04%)
Mutual labels: crowd-counting
Crowd-Counting-with-MCNNsCrowd counting on the ShanghaiTech dataset, using multi-column convolutional neural networks.
Stars: ✭ 23 (+0%)
Mutual labels: crowd-counting
CSRNet-kerasImplementation of the CSRNet paper (CVPR 18) in keras-tensorflow
Stars: ✭ 107 (+365.22%)
Mutual labels: crowd-counting
MARUNetMulti-level Attention Refined UNet for crowd counting
Stars: ✭ 30 (+30.43%)
Mutual labels: crowd-counting
Smart-City-SampleThe 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.
Stars: ✭ 141 (+513.04%)
Mutual labels: crowd-counting
Dense-Scale-Network-for-Crowd-CountingAn unofficial implement of paper "Dense Scale Network for Crowd Counting", link: https://arxiv.org/abs/1906.09707
Stars: ✭ 25 (+8.7%)
Mutual labels: crowd-counting
pytorch-ACSCPUnofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018
Stars: ✭ 18 (-21.74%)
Mutual labels: crowd-counting