Timesformer Hr Finetuned K400
TimeSformer-HR is a high-resolution spatiotemporal Transformer model for video, fine-tuned on the Kinetics-400 dataset, suitable for video action recognition tasks.
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.
Featured Recommended AI Models