Self-Supervised depth kalilia

Related tags

Deep LearningSelf-Supervised-depth
Overview

Self-Supervised-depth

by kalilia.

Contents

0-depth-estimation-overview

Conference Tittle code Author mark note
Single Image Depth Estimation: An Overview Istanbul Technical University ๐Ÿ™‰

*-datasets

Tittle yaer mark note
Vision meets Robotics: The KITTI Dataset 2012 Karlsruhe Institute of Technology
nuScenes: A multimodal dataset for autonomous driving 2018 nuTonomy: an APTIV company

1-Monocular-depth with Cost Volume

Conference Tittle code Author mark note
NIPS2020 Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes Korea Advanced Institute of Science and Technology ๐Ÿ™‰ link
CVPR2021 DRO: Deep Recurrent Optimizer for Structure-from-Motion Alibaba A.I. Labs ๐Ÿ™ˆ link
CVPR2021 The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth link Niantic ๐Ÿ™ˆ
CVPR2020 Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume link Australian Institute for Machine Learning ๐Ÿ™ˆ
ECCV2020 Feature-metric Loss for Self-supervised Learning of Depth and Egomotion link ๐Ÿ™ˆ

2-Mono-SfM

2017

Conference Tittle code Author mark note
CVPR2017 Semi-Supervised Deep Learning for Monocular Depth Map Prediction RWTH Aachen University ๐Ÿ™ˆ
CVPR2017 SfMLearner: Unsupervised Learning of Depth and Ego-Motion from Video link UC Berkeley โญ link

2018

Conference Tittle code Author mark note
CVPR2018 DVO: Learning Depth from Monocular Videos using Direct Methods Carnegie Mellon University ๐Ÿ™ˆ
CVPR2018 GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose link SenseTime Research ๐Ÿ™ˆ
ECCV2018 DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency ) Virginia Tech ๐Ÿ™ˆ
ECCV2018 Supervising the new with the old: learning SFM from SFM ) University of Oxford ๐Ÿ™ˆ

2019

Conference Tittle code Author mark note
2019 Self-Supervised 3D Keypoint Learning for Ego-motion Estimation Toyota Research Institute (TRI) ๐Ÿ™ˆ
ICRA2019 SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation Toyota Research Institute (TRI) ๐Ÿ™ˆ
AAAI2019 Depth prediction without the sensors: Leveraging structure for unsupervised learning from monocular videos Harvard University/Google Brain ๐Ÿ™ˆ
ICCV2019 Unsupervised High-Resolution Depth Learning From Videos With Dual Networks Tsinghua University ๐Ÿ™ˆ
ICCV2019 Self-Supervised Monocular Depth Hints link Niantic ๐Ÿ™ˆ
ICCV2019 Monodepth2: Digging into self-supervised monocular depth estimation link UCL/niantic ๐ŸŒŸ
NIPS2019 SC-SfMLearner: Unsupervised scale-consistent depth and ego-motion learning from monocular video University of Adelaide, Australia ๐Ÿ™ˆ
CVPR2019 Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation Max Planck Institute for Intelligent Systems ๐Ÿ™ˆ
CoRL2019 Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances Toyota Research Institute (TRI) ๐Ÿ™ˆ

2020

Conference Tittle code Author mark note
ECCV2020 DeepSFM: Structure From Motion Via Deep Bundle Adjustment Fudan University ๐Ÿ™ˆ
CoRL2020 Unsupervised Monocular Depth Learning in Dynamic Scenes Google Research ๐Ÿ™ˆ
CoRL2020 Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes Tsinghua University ๐Ÿ™‰
3DV2020 Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion Toyota Research Institute (TRI)
ICLR2020 Semantically-Guided Representation Learning for Self-Supervised Monocular Depth Toyota Research Institute (TRI)
CVPR2020 On the uncertainty of self-supervised monocular depth estimation link University of Bologna, Italy ๐Ÿ™ˆ
CVPR2020 Towards Better Generalization: Joint Depth-Pose Learning without PoseNet link Tsinghua University ๐Ÿ™ˆ link
CVPR2020 3D Packing for Self-Supervised Monocular Depth Estimation Toyota Research Institute (TRI) ๐ŸŒŸ link
CVPR2020 Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume University of Adelaide ๐Ÿ™ˆ
2020 SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature Extraction link Toyota Research Institute (TRI) ๐Ÿ™ˆ
2020 Self-Supervised Monocular Depth Estimation : Solving the Dynamic Object Problem by Semantic Guidance Technische Universitยจat Braunschweig, Germany ๐Ÿ™ˆ
IROS2020 Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications link Tongji University ๐Ÿ™ˆ

2021

Conference Tittle code Author mark note
AAAI2021 HR-Depth : High Resolution Self-Supervised Monocular Depth Estimation link Zhejiang University โญ link
AAAI2021 Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency KAIST โญ link
CVPR2021 Manydepth:The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth link Niantic ๐Ÿ™ˆ
CVPR2021 MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera link TUM ๐Ÿ™ˆ
IROS2021 Self-Supervised Scale Recovery for Monocular Depth and Egomotion Estimation University of Toronto ๐Ÿ™ˆ
2021 Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos Hong Kong Polytechnic University ๐Ÿ™ˆ
2021 Self-Supervised Structure-from-Motion through Tightly-Coupled Depth and Egomotion Networks University of Toronto ๐Ÿ™ˆ
2021 Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes HKUST ๐Ÿ™ˆ
2021 Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video Tongji University ๐Ÿ™ˆ
2021 Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision ๐Ÿ™ˆ
2021 Self-Supervised Learning of Depth and Ego- Motion from Video by Alternative Training and Geometric Constraints from 3D to 2D ๐Ÿ™ˆ
-update-time-09-13-2021-
ICCV2021 Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation Seoul National University ๐Ÿ™ˆ
ICCV2021 Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark Nanjing University of Science and Technology ๐Ÿ™ˆ
ICCV2021 Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation Zhejiang University ๐Ÿ™ˆ
ICCV2021 StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation Shanghai Jiao Tong University ๐Ÿ™ˆ
ICCV2021 MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments OPPO US Research Center ๐Ÿ™ˆ
Sensors Journal 2021 Unsupervised Monocular Depth Perception: Focusing on Moving Objects Chinese University of Hong Kong ๐Ÿ™ˆ
2021 R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes TUM โญ
2021 Unsupervised Monocular Depth Estimation in Highly Complex Environments East China University of Science and Technology ๐Ÿ™ˆ

3-Multi-view-stereo

Conference Tittle code Author mark
PAMI2008 SGM๏ผšStereo processing by Semi-Global matching and Mutual Information German Aerospace Cente ๐Ÿ™ˆ
ECCV2016 Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue University of Adelaide ๐Ÿ™ˆ
CVPR2017 DispNet: Unsupervised Monocular Depth Estimation with Left-Right Consistency University College London ๐Ÿ™ˆ
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo Jiayu link Northwestern Polytechnical University ๐Ÿ™ˆ
CVPR2020 Semi-Supervised Deep Learning for Monocular Depth Map Prediction Australian National University ๐Ÿ™ˆ
AAAI2021 Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation South China University of Technology ๐Ÿ™ˆ
CVPR2021 Differentiable Diffusion for Dense Depth Estimation from Multi-view Images Brown University ๐Ÿ™ˆ
ICCV2021 NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo Australian National University โญ

4-SLAM-Visual-Odometry

Conference Tittle code Author mark
ECCV2014 LSD-SLAM: Large-Scale Direct Monocular SLAM TUM ๐Ÿ™ˆ
TR2015 ORB-SLAM: A Versatile and Accurate Monocular SLAM System Universidad de Zaragoza ๐Ÿ™ˆ
2016 Direct Visual Odometry using Bit-Planes Carnegie Mellon University ๐Ÿ™ˆ
TR2017 ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras Universidad de Zaragoza ๐Ÿ™ˆ
2016 A Photometrically Calibrated Benchmark For Monocular Visual Odometry TUM ๐Ÿ™ˆ

2018

Conference Tittle code Author mark
PAMI2018 DSO: Direct Sparse Odometry TUM ๐Ÿ™ˆ
IROS2018 LDSO: Direct Sparse Odometry with Loop Closure TUM ๐Ÿ™ˆ
ECCV2018 Deep Virtual Stereo Odometry:Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry TUM ๐Ÿ™ˆ
2018 Self-improving visual odometry Magic Leap, Inc. ๐Ÿ™ˆ

2019

Conference Tittle code Author mark
ICLR2019 BA-NET: DENSE BUNDLE ADJUSTMENT NETWORKS Simon Fraser University ๐Ÿ™ˆ
TartanVO: A Generalizable Learning-based VO link Carnegie Mellon University ๐Ÿ™ˆ
IROS D2VO: Monocular Deep Direct Visual Odometry ๐Ÿ™ˆ

2020

Conference Tittle code Author mark
ECCV2020 Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction IIIT-Delhi ๐Ÿ™ˆ
CVPR2020 VOLDOR: Visual Odometry from Log-logistic Dense Optical flow Residuals Stevens Institute of Technology ๐Ÿ™ˆ
2021 Generalizing to the Open World: Deep Visual Odometry with Online Adaptation Peking University ๐Ÿ™ˆ
ICRA2021 SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure Zhejiang University ๐Ÿ™ˆ

Light-Filed-based-depth

Conference Tittle code Author mark
TPAMI2021 Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Network Northeastern University ๐Ÿ™ˆ
CVPR2021 Differentiable Diffusion for Dense Depth Estimation from Multi-view Images Brown University ๐Ÿ™ˆ
IROS2021 Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras Brown University ๐Ÿ™ˆ
2021 Occlusion-aware Unsupervised Learning of Depth from 4-D Light Fields University of Sydney ๐Ÿ™ˆ

6-depth-estimation-and-complementation

Conference Tittle code Author mark
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion Vitor Toyota Research Institute (TRI) ๐Ÿ™ˆ
3DV2019 Enhancing self-supervised monocular depth estimation with traditional visual odometry Univrses AB ๐Ÿ™ˆ
ECCV2020 S3Net: Semantic-aware self-supervised depth estimation with monocular videos and synthetic data UCSD ๐Ÿ™ˆ
Owner
GitHub Repository
pytorch bert intent classification and slot filling

pytorch_bert_intent_classification_and_slot_filling ๅŸบไบŽpytorch็š„ไธญๆ–‡ๆ„ๅ›พ่ฏ†ๅˆซๅ’Œๆงฝไฝๅกซๅ…… ่ฏดๆ˜Ž ๅŸบๆœฌๆ€่ทฏๅฐฑๆ˜ฏ๏ผšๅˆ†็ฑป+ๅบๅˆ—ๆ ‡ๆณจ๏ผˆๅ‘ฝๅๅฎžไฝ“่ฏ†ๅˆซ๏ผ‰ๅŒๆ—ถ่ฎญ็ปƒใ€‚ ไฝฟ็”จ็š„้ข„่ฎญ็ปƒๆจกๅž‹๏ผšhugging faceไธŠ็š„chinese-bert-wwm-ext ไพ

่ฅฟ่ฅฟๅ˜›ๅ‘ฆ 33 Dec 15, 2022
A fuzzing framework for SMT solvers

yinyang A fuzzing framework for SMT solvers. Given a set of seed SMT formulas, yinyang generates mutant formulas to stress-test SMT solvers. yinyang c

Project Yin-Yang for SMT Solver Testing 145 Jan 04, 2023
PyTorch implementation of DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration (BMVC 2021)

DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration [video] [paper] [supplementary] [data] [thesis] Introduction De

Natalie Lang 10 Dec 14, 2022
Yolov5+SlowFast: Realtime Action Detection Based on PytorchVideo

Yolov5+SlowFast: Realtime Action Detection A realtime action detection frame work based on PytorchVideo. Here are some details about our modification:

WuFan 181 Dec 30, 2022
BMVC 2021: This is the github repository for "Few Shot Temporal Action Localization using Query Adaptive Transformers" accepted in British Machine Vision Conference (BMVC) 2021, Virtual

FS-QAT: Few Shot Temporal Action Localization using Query Adaptive Transformer Accepted as Poster in BMVC 2021 This is an official implementation in P

Sauradip Nag 14 Dec 09, 2022
DTCN SMP Challenge - Sequential prediction learning framework and algorithm

DTCN This is the implementation of our paper "Sequential Prediction of Social Me

Bobby 2 Jan 24, 2022
โ€‹TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

TextWorld A text-based game generator and extensible sandbox learning environment for training and testing reinforcement learning (RL) agents. Also ch

Microsoft 983 Dec 23, 2022
A ssl analyzer which could analyzer target domain's certificate.

ssl_analyzer A ssl analyzer which could analyzer target domain's certificate. Analyze the domain name ssl certificate information according to the inp

vincent 17 Dec 12, 2022
Constrained Logistic Regression - How to apply specific constraints to logistic regression's coefficients

Constrained Logistic Regression Sample implementation of constructing a logistic regression with given ranges on each of the feature's coefficients (v

1 Dec 29, 2021
DSL for matching Python ASTs

py-ast-rule-engine This library provides a DSL (domain-specific language) to match a pattern inside a Python AST (abstract syntax tree). The library i

1 Dec 18, 2021
This is the code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".

HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields This is the code for "HyperNeRF: A Higher-Dimensional

Google 702 Jan 02, 2023
PyTorch implementation of MoCo: Momentum Contrast for Unsupervised Visual Representation Learning

MoCo: Momentum Contrast for Unsupervised Visual Representation Learning This is a PyTorch implementation of the MoCo paper: @Article{he2019moco, aut

Meta Research 3.7k Jan 02, 2023
This package contains a PyTorch Implementation of IB-GAN of the submitted paper in AAAI 2021

The PyTorch implementation of IB-GAN model of AAAI 2021 This package contains a PyTorch implementation of IB-GAN presented in the submitted paper (IB-

Insu Jeon 9 Mar 30, 2022
Face Recognize System on camera AI OAK1

FRS on OAK1 Face Recognize System on camera OAK1 This project contains our work that deploy on camera OAK1 Features Anti-Spoofing Face detection Face

Tran Anh Tuan 6 Aug 08, 2022
SoK: Vehicle Orientation Representations for Deep Rotation Estimation

SoK: Vehicle Orientation Representations for Deep Rotation Estimation Raymond H. Tu, Siyuan Peng, Valdimir Leung, Richard Gao, Jerry Lan This is the o

FIRE Capital One Machine Learning of the University of Maryland 12 Oct 07, 2022
This is a Keras implementation of a CNN for estimating age, gender and mask from a camera.

face-detector-age-gender This is a Keras implementation of a CNN for estimating age, gender and mask from a camera. Before run face detector app, expr

Devdreamsolution 2 Dec 04, 2021
HomoInterpGAN - Homomorphic Latent Space Interpolation for Unpaired Image-to-image Translation

HomoInterpGAN Homomorphic Latent Space Interpolation for Unpaired Image-to-image Translation (CVPR 2019, oral) Installation The implementation is base

Ying-Cong Chen 99 Nov 15, 2022
This repository contains the code to replicate the analysis from the paper "Moving On - Investigating Inventors' Ethnic Origins Using Supervised Learning"

Replication Code for 'Moving On' - Investigating Inventors' Ethnic Origins Using Supervised Learning This repository contains the code to replicate th

Matthias Niggli 0 Jan 04, 2022
Implementation of ReSeg using PyTorch

Implementation of ReSeg using PyTorch ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation Pascal-Part Annotations Pascal VOC 2010

Onur Kaplan 46 Nov 23, 2022
Modular Probabilistic Programming on MXNet

MXFusion | | | | Tutorials | Documentation | Contribution Guide MXFusion is a modular deep probabilistic programming library. With MXFusion Modules yo

Amazon 100 Dec 10, 2022