Overview of 3D ResNet-RS Architecture and Scaling Strategy for Video Recognition
Video recognition involves the use of deep learning networks to analyze video content and classify them into appropriate categories. One such architecture and scaling strategy used for video recognition is the 3D ResNet-RS.
3D ResNet-RS involves the use of three key additions to the original ResNet-D architecture:
1. 3D ResNet-D Stem
The ResNet-D stem is adapted for 3D inputs in the 3D ResNet-RS architecture by
Audiovisual SlowFast Network or AVSlowFast is an innovative architecture that aims to unite visual and audio modalities in a single, integrated perception. The Slow and Fast visual pathways of the network, fused with a Faster Audio pathway, work together to model the combined effect of vision and sound. In this way, AVSlowFast creates a comprehensive and authentic representation of how sight and hearing combine in human experiences.
Integrating Audio and Visual Features
AVSlowFast was designe
Mobile Video Network, or MoViNet, is a novel technology that allows for efficient video network computation and memory. It is designed to work on streaming videos for online inference. The technique includes three main elements that optimize efficiency while lowering the peak memory usage of 3D Convolutional Neural Networks (CNNs).
Neural Architecture Search
The first step in developing MoViNet involved creating a video network search space and employing neural architecture search. The goal w