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Vivit B 16x2

Developed by google
ViViT is an extension of the Vision Transformer (ViT) for video processing, primarily used for downstream tasks such as video classification.
Downloads 989
Release Time : 11/23/2022

Model Overview

The ViViT model extends the Vision Transformer (ViT) architecture to handle video data. It captures spatiotemporal features in videos through spatiotemporal attention mechanisms, making it suitable for tasks like video classification.

Model Features

Spatiotemporal Attention Mechanism
Extends the ViT architecture to capture features in both spatial and temporal dimensions of videos.
Video Processing Capability
Specifically designed to handle video sequence data, rather than static images.
Scalability
Based on the Transformer architecture, allowing flexible adjustments to model size and complexity.

Model Capabilities

Video Feature Extraction
Video Classification
Spatiotemporal Pattern Recognition

Use Cases

Video Analysis
Video Content Classification
Classify video content, such as action recognition, scene recognition, etc.
Action Recognition
Identify human actions or activities in videos.
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