Latest from MIT researchers: A new methodology for lidar super-resolution with g

Latest from MIT researchers: A new methodology for lidar super-resolution with ground vehicles

For project and code or API request: https://www.catalyzex.com/paper/arxiv:2004.05242

To increase the resolution of the point cloud captured by a sparse 3D lidar, they convert this problem from 3D Euclidean space into an image super-resolution problem in 2D image space, which is solved using a deep convolutional neural network

'Deep Learning > resources' 카테고리의 다른 글

We've just open-sourced our implementation of TransformerTTS 🤖💬: a Text-to-Spe (0)	2020.05.20
My Shortlist of AI & ML Stuff: Books, Courses and More (0)	2020.05.18
#의료인공지능 #Pathology #대회솔루션코드공개 안녕하세요 TFKR! 서울아산병원이 주최한 의료인공지능대회인 HeLP2019 Chal (0)	2020.04.27
Made With ML Topics A collection of the best ML tutorials, toolkits and researc (0)	2020.04.24
손과 얼굴 트래킹은 이제 웹에서 아주 쉽게 할 수 있는 것 같습니다. MediaPipe와 TensorFlow.js 를 이용해서 하는 방법을 잘 (0)	2020.03.17