ailia-modelsThe collection of pre-trained, state-of-the-art AI models for ailia SDK
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crowd-countingImage Crowd Counting Using Convolutional Neural Network and Markov Random Field
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W-Net-KerasAn unofficial implementation of W-Net for crowd counting.
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Crowd-Counting-with-MCNNsCrowd counting on the ShanghaiTech dataset, using multi-column convolutional neural networks.
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CSRNet-kerasImplementation of the CSRNet paper (CVPR 18) in keras-tensorflow
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S-DCNetUnofficial Pytorch implementation of S-DCNet and SS-DCNet
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NWPU-Crowd-Sample-CodeThe sample code for a large-scale crowd counting dataset, NWPU-Crowd.
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IIMPyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"
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CrowdFlowOptical Flow Dataset and Benchmark for Visual Crowd Analysis
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MARUNetMulti-level Attention Refined UNet for crowd counting
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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.
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Dense-Scale-Network-for-Crowd-CountingAn unofficial implement of paper "Dense Scale Network for Crowd Counting", link: https://arxiv.org/abs/1906.09707
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pytorch-ACSCPUnofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018
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PCC-NetPCC Net: Perspective Crowd Counting via Spatial Convolutional Network
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keras-mcnnkeras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...
Stars: ✭ 23 (+35.29%)
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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
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Variations-of-SFANet-for-Crowd-CountingThe official implementation of "Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting"
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