ResNet-2Plus1D
Sports and human action recognition in videos.
ResNet (2+1)D Convolutions is a network which explicitly factorizes 3D convolution into two separate and successive operations, a 2D spatial convolution and a 1D temporal convolution. It used for video understanding applications.
Technical Details
Model checkpoint:Kinetics-400
Input resolution:112x112
Number of parameters:31.5M
Model size:120 MB
Applicable Scenarios
- Camera
- Action Recognition
Licenses
Source Model:BSD-3-CLAUSE
Deployable Model:AI Model Hub License
Tags
- backbone
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
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