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3D ResNets for Action Recognition (CVPR 2018). Contribute to kenshohara/3D-ResNets-PyTorch development by creating an account on GitHub.
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resnet_shortcut='B', resnext_cardinality=32, result_path='/home/nichao/data/results', resume_path='', root_path='/home/nichao/data', sample_duration=16, sample_size=112, scale_in_test=1.0, scale_step=0.84089641525, scales=[1.0, 0.84089641525, 0.7071067811803005, 0.5946035574934808, 0.4999999...
https://github.com/piergiaj/pytorch-i3d/blob/master/pytorch_i3d.py https://github.com/kenshohara/3D-ResNets-PyTorch/ Models:I3D, 3D-ResNet, 3D-DenseNet, 3D-ResNeXt Datasets:UCF-101, Kinetics, ActivityNet, Charades Installation Clone and install: ...
This branch is348 commits behindkenshohara/3D-ResNets-PyTorch:master. README MIT license 3D ResNets for Action Recognition Update (2018/2/21) Our paper "Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?" is accepted to CVPR2018!