Vivit B 16x2 Kinetics400
ViViT is an extension of the Vision Transformer (ViT) for video processing, particularly suitable for video classification tasks.
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Release Time : 11/23/2022
Model Overview
The ViViT model extends the Vision Transformer (ViT) architecture to handle video data. This model is primarily used for video classification tasks and can capture spatiotemporal features in videos.
Model Features
Video Processing Capability
Extends the Vision Transformer architecture to effectively process video data
Spatiotemporal Feature Capture
Can simultaneously capture features in both spatial and temporal dimensions of videos
Transformer-based Architecture
Utilizes the self-attention mechanism of Transformer to process visual data
Model Capabilities
Video Classification
Spatiotemporal Feature Extraction
Video Content Understanding
Use Cases
Video Analysis
Video Content Classification
Classify video content, such as identifying types of sports or scene categories
Action Recognition
Recognize human actions or behaviors in videos
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