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ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems
時間 2021-01-17
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stereo
disparity
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Network architecture Loss function 主要用的左圖與reconstructioned的左圖之間的差異,叫做photometric loss,然後亮處像素之間的差異一定會比暗的地方的差異大的。所以像素之間的residual是跟像素的亮度有關。 然而,亮度與視差實際上是不相關的。所以,需要消除亮度的影響。因爲非監督裏面,的確loss是像素之間的loss。 Weighte
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相關文章
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論文閱讀《ActiveStereoNet:End-to-End Self-Supervised Learning for Active Stereo Systems》
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【Active Learning - 03】Adaptive Active Learning for Image Classification
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