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Videomae Base Finetuned Ucf101 Subset
基于VideoMAE基础模型在UCF101子集上微调的视频分类模型
Downloads 30
Release Time : 4/8/2025
Model Overview
该模型是VideoMAE基础模型在UCF101数据集子集上微调的版本，主要用于视频分类任务，在评估集上取得了81.94%的准确率。
Model Features
高效视频理解
基于VideoMAE架构，能够高效处理和理解视频内容
微调性能优异
在UCF101子集上微调后达到81.94%的准确率
轻量级
基于基础模型微调，保持了相对轻量的特性
Model Capabilities
视频分类
视频内容理解
动作识别
Use Cases
视频分析
动作识别
识别视频中的人类动作
在UCF101子集上达到81.94%准确率
视频内容分类
对视频内容进行分类标注
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