Self-supervised depth and ego motion estimation

3D Packing for Self-Supervised Monocular Depth Estimation by Vitor Guizilini, pdf at arxiv, 2020 Learning Depth estimator fD : I → D Ego motion estimator: fx : (It, IS) → xt → S Depth Estimator They predict an inverse depth and use a packnet architecture. Inverse depth probably has more stable results. Points far away from camera have small inverse depth that with low precision. The nearer points have more information...

August 23, 2020 · SergeM

Which pretrained backbone to choose

In 2020 which architecture should I use for my image classification/tracking/segmentation/… task? I was asked on an interview that and I didn’t have a prepared answer. I made a small research and want to write down some thoughts. Most of the architectures build upon ideas from ResNet paper Deep Residual Learning for Image Recognition, 2015 Here is some explanation of resnet family:An Overview of ResNet and its Variants by Vincent Fung, 2017....

July 1, 2020 · SergeM