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Official implementation of Adabins: Depth Estimation using adaptive bins
[ICCV 2021] Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation
Summary of related papers on visual attention
Bayesian Attention Modules
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
A complete computer science study plan to become a software engineer.
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation in CVPR 2017
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
Dual Attention Network for Scene Segmentation (CVPR2019)
Code for "DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion" (CVPR 2021)
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
This repository is used to publish source code of my deep learning book
Deep Learning Book Chinese Translation
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
High Quality Monocular Depth Estimation via Transfer Learning
Depth and Flow for Visual Odometry
[BMVC 2021] ''Self-Supervised Monocular Depth Estimation with Internal Feature Fusion''
Code for our paper DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos
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Dense Prediction Transformers
Pytorch implementation of various Attention Mechanism
This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Google Deep Learning Notes(TensorFlow教程)
Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)
Google Research
ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理
[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
A Pytorch Implementation of IndoorDepth
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.