Deep learning approach for facial age classification: a survey of the state‑of‑the‑art
1 Abstract 利用人臉圖像進行年齡估計是一項令人興奮和具有挑戰性的任務。這些面部特徵被用來確定人們的年齡、性別、種族背景和情緒。在這些特徵中，年齡估計在一些潛在的實時應用中是有價值的。傳統的手工製作方法依賴於年齡估計，不能正確地估計年齡。龐大的訓練數據集的可用性和計算能力的提高使卷積神經網絡深度學習成爲年齡估計的更好方法;卷積神經網絡將直接從圖像像素中學習鑑別特徵描述符。許多研究者提出了幾
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