https://www.youtube.com/watch?v=QheTw4Ofi2c本文提出了VA DepthNet,这是一种用于单图像深度预测(SIDP)问题的简单、有效和准确的深度神经网络方法。所提出的方法主张对这个问题使用经典的一阶变分约束。尽管用于SIDP的最先进的深度神经网络方法在受监督的环境中从图像中
在撰写本文时,我们的方法(标记为VA DepthNet)在KITTI深度预测评估集基准上进行测试时,显示了最先进的结果,是性能最好的公开方法。 We introduce VA-DepthNet, a simple, effective, and accurate deep neural network approach for the single-image depth prediction (SIDP) problem. The proposed approach advocates...
R. S. Berns, "Extending CIELAB: Vividness, Vab*, depth, Dab*, and clarity, Tab," Color Research & Application, vol. 39, no. 4, pp. 322- 330, 2014.Berns R. S. (2013) Extending CIELAB: Vividness, Vab*, Depth, Dab*, and Clarity, Tab*. COLOR Research and Application. 322-...
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