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Matt Harvey
five-video-classification-methods
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18dc3698
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18dc3698
authored
7 years ago
by
Matt Harvey
Committed by
GitHub
7 years ago
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Update README.md
parent
e22eb06d
master
add-demo-script
github/fork/Anner-deJong/patch-2
github/fork/ideaRunner/edit_move_file
github/fork/ikvision/master
github/fork/mertia-himanshu/master
github/fork/prabindh/master
github/fork/sanshibayuan/master
playground
playground-add-synthetic
v1.0
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@@ -4,7 +4,7 @@ The five video classification methods:
1.
Classify one frame at a time with a ConvNet
1.
Extract features from each frame with a ConvNet, passing the sequence to an RNN, in a separate network
1.
Use a time-dstirbuted ConvNet, passing the features to an RNN, much like #2 but all in one network
1.
Use a time-dstirbuted ConvNet, passing the features to an RNN, much like #2 but all in one network
(this is the
`lrcn`
network in the code).
1.
Extract features from each frame with a ConvNet and pass the sequence to an MLP
1.
Use a 3D convolutional network (has two versions of 3d conv to choose from)
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