AIbase
EN
Home
Videomae Base Ipm All Videos
V

Videomae Base Ipm All Videos

Developed by rickysk
A vision model fine-tuned from the VideoMAE base model on an unknown video dataset, primarily used for video understanding tasks, achieving 85.59% accuracy on the evaluation set.
Video Processing
Transformers
#Video Understanding#High Accuracy#Fine-tuned Model
Downloads 30
Release Time : 6/2/2023

Model Overview

This model is a fine-tuned version of the VideoMAE base model, focusing on video content analysis tasks. Through self-supervised pre-training and downstream task fine-tuning, it effectively captures spatiotemporal features in videos.

Model Features

Efficient Video Feature Extraction
Utilizes masked autoencoder pre-training strategy to effectively learn spatiotemporal representations of videos.
Strong Transfer Learning Capability
Fine-tuned from a large-scale pre-trained model to adapt to specific video analysis tasks.
Balanced Performance
Achieves 85.59% accuracy on the evaluation set with a loss value of 0.4713.

Model Capabilities

Video Content Understanding
Video Classification
Spatiotemporal Feature Extraction

Use Cases

Video Analysis
Video Content Classification
Automatically classifies and identifies video clips.
Evaluation accuracy 85.59%
Action Recognition
Identifies human actions or activities in videos.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase