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[paper]End-to-End Training of Hybrid CNN-CRF Models for Stereo
時間 2021-01-13
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Pre-learning 隱馬爾科夫模型 Y={y1,y2,...,yn} 是一組隨機變量, X={x1,x2,...,xn} 是其觀測變量,我們假設Y具有馬爾科夫性,則X,Y的聯合概率爲 P(x1,x2,...,xn,y1,y2,...,yn)=P(y1)P(x1|y1)∏i=2nP(yi|yi−1)P(xi|yi) 爲確定一個Hidden Markov Model,需要確定以下三組參數 [A,
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相關文章
1.
論文筆記《End-to-End Training of Hybrid CNN-CRF Models for Stereo》用於立體評估的端到端訓練的混合CNN-CRF模型
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4.
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