Deeper Depth Prediction with Fully Convolutional Residual Networks
这篇就是上文采用的那个encoder-deenconder结构。介绍中说不需要任何后处理，比如CRF，实力嘲讽用了CRF还慌称端到端的渣渣。前面的网络采用residual 网络。loss是Huber loss。单目去做深度是一个非常神奇的东西，一直想不明白，可是文中的说从视觉色彩中强行读出深度信息这句话宽慰了我瑟瑟发抖的内心。MRF，CRF这些可以做吧。。 网络的收缩明明是方便计算，计算快，该文说
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相关文章
- 1. 5.Deeper Depth Prediction with Fully Convolutional Residual Networks
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- 4. Deeper Depth Prediction with Fully Convolutional Residual Networks(FCRN)全卷积残差网络概述
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