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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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