V

Vivit B 16x2 Kinetics400

Developed by google
ViViT is an extension of the Vision Transformer (ViT) for video processing, particularly suitable for video classification tasks.
Downloads 56.94k
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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