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adabins

Official implementation of Adabins: Depth Estimation using adaptive bins

adds-depthnet

[ICCV 2021] Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation

awesome-vision-attentions

Summary of related papers on visual attention

bam

Bayesian Attention Modules

bts

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

coding-interview-university

A complete computer science study plan to become a software engineer.

continuouscrf-cnn

Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation in CVPR 2017

d2l-zh

《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。

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

deep-video-mvs

Code for "DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion" (CVPR 2021)

deeplearning-500-questions

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

deeplearningbook

This repository is used to publish source code of my deep learning book

deeplearningbook-chinese

Deep Learning Book Chinese Translation

dense_depth_priors_nerf

Dense Depth Priors for Neural Radiance Fields from Sparse Input Views

densedepth

High Quality Monocular Depth Estimation via Transfer Learning

df-vo

Depth and Flow for Visual Odometry

diffnet

[BMVC 2021] ''Self-Supervised Monocular Depth Estimation with Internal Feature Fusion''

dipe

Code for our paper DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos

download

Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 proxy vpn circumvention gfw

dpt

Dense Prediction Transformers

epsanet

external-attention-pytorch

Pytorch implementation of various Attention Mechanism

featdepth

This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".

gcnet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

gdlnotes

Google Deep Learning Notes（TensorFlow教程）

geonet

Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)

google-research

Google Research

iccv2021-paper-code-interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

indoor-sfmlearner

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

indoordepth

A Pytorch Implementation of IndoorDepth