Multiple ways to fuse temporal information from consecutive frames using 2D pre-trained convolutions
$begingroup$
In Large-scale Video Classification with Convolutional Neural Networks by Karpathy et al.
, Can anyone explain the architecture, inputs and training process of Single Frame
, Late Fusion
, Early Fusion
, Slow Fusion
in more detail.
Here is a bit more to refer but it just explains as much explained in the paper.
I can't get how is the information fused over different stages and how is the below images should be interpreted?
machine-learning deep-learning convolution
$endgroup$
add a comment |
$begingroup$
In Large-scale Video Classification with Convolutional Neural Networks by Karpathy et al.
, Can anyone explain the architecture, inputs and training process of Single Frame
, Late Fusion
, Early Fusion
, Slow Fusion
in more detail.
Here is a bit more to refer but it just explains as much explained in the paper.
I can't get how is the information fused over different stages and how is the below images should be interpreted?
machine-learning deep-learning convolution
$endgroup$
add a comment |
$begingroup$
In Large-scale Video Classification with Convolutional Neural Networks by Karpathy et al.
, Can anyone explain the architecture, inputs and training process of Single Frame
, Late Fusion
, Early Fusion
, Slow Fusion
in more detail.
Here is a bit more to refer but it just explains as much explained in the paper.
I can't get how is the information fused over different stages and how is the below images should be interpreted?
machine-learning deep-learning convolution
$endgroup$
In Large-scale Video Classification with Convolutional Neural Networks by Karpathy et al.
, Can anyone explain the architecture, inputs and training process of Single Frame
, Late Fusion
, Early Fusion
, Slow Fusion
in more detail.
Here is a bit more to refer but it just explains as much explained in the paper.
I can't get how is the information fused over different stages and how is the below images should be interpreted?
machine-learning deep-learning convolution
machine-learning deep-learning convolution
asked 2 mins ago
jayjay
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