Crowd Counting Scnn Alternatives

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results
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Alternatives To val-iisc/crowd-counting-scnn
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
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jwyang/graph-rcnn.pytorch 482 0 0 about 6 years ago 0 32 Python
Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers
krrish94/nerf-pytorch 414 0 0 almost 5 years ago 0 20 other Python
A PyTorch re-implementation of Neural Radiance Fields
rowanz/neural-motifs 348 0 0 over 6 years ago 0 26 mit Python
Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)
qway/nerfmeshes 260 0 0 about 3 years ago 0 9 mit Python
A pipeline to reconstruct 3d meshes based on Neural Radiance Fields
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Simple neural network implemented in C# for Unity3D
yuxng/DA-RNN 150 0 0 about 8 years ago 0 15 mit C++
Semantic Mapping with Data Associated Recurrent Neural Networks
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