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Beit Base Patch16 224 Pt22k Ft22k Finetuned FER2013 9e 05
基於BEiT架構的視覺Transformer模型，在FER2013數據集上微調，用於面部表情識別任務
Downloads 19
Release Time : 1/8/2023
Model Overview
該模型是基於微軟BEiT架構的視覺Transformer，專門針對面部表情識別任務進行了微調，在FER2013數據集上取得了68.4%的準確率
Model Features
基於BEiT架構
採用BEiT(Bidirectional Encoder representation for Image Transformers)架構，結合了視覺Transformer的優勢
面部表情識別
專門針對面部表情識別任務進行了優化，能夠識別多種面部表情
高效微調
在預訓練模型基礎上使用9e-05的學習率進行精細微調，平衡了訓練效率和模型性能
Model Capabilities
面部表情分類
圖像特徵提取
情感識別
Use Cases
情感計算
即時表情分析
用於視頻會議或社交媒體中的即時表情識別
可識別多種基本表情，準確率68.4%
人機交互
為智能設備提供用戶情緒反饋
心理學研究
情緒反應研究
用於心理學實驗中的面部表情自動分析
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