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Timesformer Hr Finetuned K400
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Timesformer Hr Finetuned K400

Developed by onnx-community
TimeSformer-HR is a high-resolution spatiotemporal Transformer model for video, fine-tuned on the Kinetics-400 dataset, suitable for video action recognition tasks.
Video Processing
Transformers
#Video Action Recognition#HR Spatiotemporal Modeling#Web Deployment
Downloads 17
Release Time : 8/9/2024

Model Overview

This model employs a Transformer architecture to process video data, focusing on spatiotemporal feature extraction, capable of recognizing complex actions in videos.

Model Features

High-Resolution Processing
Supports high-resolution video input, capturing finer spatiotemporal features.
Spatiotemporal Attention Mechanism
Uses Transformer architecture to process both temporal and spatial dimensions simultaneously.
Pretraining-Finetuning Paradigm
Fine-tuned on the large-scale Kinetics-400 video dataset, demonstrating excellent transfer learning capabilities.

Model Capabilities

Video Action Recognition
Spatiotemporal Feature Extraction
High-Resolution Video Processing

Use Cases

Video Analysis
Action Recognition System
Identify human actions and behaviors in videos.
Can recognize 400 action categories from the Kinetics-400 dataset.
Video Content Understanding
Analyze video content and extract key action information.
Intelligent Surveillance
Abnormal Behavior Detection
Detect unusual actions or behaviors in surveillance videos.
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