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Videomae Base Finetuned Ucf101 Subset
基於VideoMAE基礎模型在UCF101子集上微調的視頻理解模型，準確率達95.71%
Downloads 14
Release Time : 1/17/2023
Model Overview
該模型是VideoMAE架構的視頻分類模型，專門針對UCF101數據集的子集進行微調，適用於視頻動作識別任務
Model Features
高準確率
在評估集上達到95.71%的分類準確率
基於VideoMAE架構
採用掩碼自編碼器預訓練的視頻理解架構
輕量級微調
在基礎模型上僅需少量數據進行微調即可獲得優異性能
Model Capabilities
視頻動作識別
視頻內容分類
時序特徵提取
Use Cases
視頻分析
動作識別
識別視頻中的人類動作
在UCF101子集上達到95.71%準確率
視頻內容分類
對視頻內容進行分類標註
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