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A Survey on Deep Learning Based Methods and Datasets for Monocular 3D Object Detection

https://doi.org/10.3390/electronics10040517

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4471-4640-7_8openalex-snapshot

A Category-Level 3D Object Dataset: Putting the Kinect to Work

inferredcites →https://doi.org/10.1007/978-3-030-01231-1_42openalex-snapshot

DeepIM: Deep Iterative Matching for 6D Pose Estimation

inferredcites →https://doi.org/10.1007/978-3-030-01249-6_2openalex-snapshot

BOP: Benchmark for 6D Object Pose Estimation

inferredcites →https://doi.org/10.1007/978-3-030-11024-6_2openalex-snapshot

Recovering 6D Object Pose: A Review and Multi-modal Analysis

inferredcites →https://doi.org/10.1007/978-3-030-66096-3_39openalex-snapshot

BOP Challenge 2020 on 6D Object Localization

inferredcites →https://doi.org/10.1007/978-3-319-10599-4_30openalex-snapshot

Latent-Class Hough Forests for 3D Object Detection and Pose Estimation

inferredcites →https://doi.org/10.1007/978-3-319-10605-2_35openalex-snapshot

Learning 6D Object Pose Estimation Using 3D Object Coordinates

inferredcites →https://doi.org/10.1007/978-3-319-46448-0_2openalex-snapshot

SSD: Single Shot MultiBox Detector

inferredcites →https://doi.org/10.1007/978-3-319-46448-0_24openalex-snapshot

Fast 6D Pose Estimation from a Monocular Image Using Hierarchical Pose Trees

inferredcites →https://doi.org/10.1007/978-3-319-46484-8_10openalex-snapshot

ObjectNet3D: A Large Scale Database for 3D Object Recognition

inferredcites →https://doi.org/10.1007/978-3-642-33715-4_54openalex-snapshot

Indoor Segmentation and Support Inference from RGBD Images

inferredcites →https://doi.org/10.1007/978-3-642-33885-4_60openalex-snapshot

Technical Demonstration on Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes

inferredcites →https://doi.org/10.1007/978-3-642-37331-2_42openalex-snapshot

Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes

inferredcites →https://doi.org/10.1007/s11263-008-0152-6openalex-snapshot

EPnP: An Accurate O(n) Solution to the PnP Problem

inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot

The Pascal Visual Object Classes (VOC) Challenge

inferredcites →https://doi.org/10.1007/s11263-020-01316-zopenalex-snapshot

The Open Images Dataset V4

inferredcites →https://doi.org/10.1088/1742-6596/1518/1/012049openalex-snapshot

A Survey on Monocular 3D Object Detection Algorithms Based on Deep Learning

inferredcites →https://doi.org/10.1109/3dv.2016.78openalex-snapshot

Fast Single Shot Detection and Pose Estimation

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/cvpr.2012.6248074openalex-snapshot

Are we ready for autonomous driving? The KITTI vision benchmark suite

inferredcites →https://doi.org/10.1109/cvpr.2015.7298655openalex-snapshot

SUN RGB-D: A RGB-D scene understanding benchmark suite

inferredcites →https://doi.org/10.1109/cvpr.2015.7298930openalex-snapshot

Learning descriptors for object recognition and 3D pose estimation

inferredcites →https://doi.org/10.1109/cvpr.2016.236openalex-snapshot

Monocular 3D Object Detection for Autonomous Driving

inferredcites →https://doi.org/10.1109/cvpr.2016.350openalex-snapshot

The Cityscapes Dataset for Semantic Urban Scene Understanding

inferredcites →https://doi.org/10.1109/cvpr.2016.352openalex-snapshot

The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes

inferredcites →https://doi.org/10.1109/cvpr.2016.390openalex-snapshot

Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd

inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot

You Only Look Once: Unified, Real-Time Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.198openalex-snapshot

Deep MANTA: A Coarse-to-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis from Monocular Image

inferredcites →https://doi.org/10.1109/cvpr.2017.597openalex-snapshot

3D Bounding Box Estimation Using Deep Learning and Geometry

inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot

YOLO9000: Better, Faster, Stronger

inferredcites →https://doi.org/10.1109/cvpr.2018.00038openalex-snapshot

Real-Time Seamless Single Shot 6D Object Pose Prediction

inferredcites →https://doi.org/10.1109/cvpr.2018.00214openalex-snapshot

Deep Ordinal Regression Network for Monocular Depth Estimation

inferredcites →https://doi.org/10.1109/cvpr.2018.00249openalex-snapshot

Multi-level Fusion Based 3D Object Detection from Monocular Images

inferredcites →https://doi.org/10.1109/cvpr.2019.00111openalex-snapshot

GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving

inferredcites →https://doi.org/10.1109/cvpr.2019.00115openalex-snapshot

Deep Fitting Degree Scoring Network for Monocular 3D Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2019.00217openalex-snapshot

ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape

inferredcites →https://doi.org/10.1109/cvpr.2019.00275openalex-snapshot

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation

inferredcites →https://doi.org/10.1109/cvpr.2019.00350openalex-snapshot

Segmentation-Driven 6D Object Pose Estimation

inferredcites →https://doi.org/10.1109/cvpr.2019.00469openalex-snapshot

PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation

inferredcites →https://doi.org/10.1109/cvpr.2019.00864openalex-snapshot

Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00051openalex-snapshot

HybridPose: 6D Object Pose Estimation Under Hybrid Representations

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00812openalex-snapshot

End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01172openalex-snapshot

EPOS: Estimating 6D Pose of Objects With Symmetries

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00773openalex-snapshot

Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations

inferredcites →https://doi.org/10.1109/cvprw.2018.00275openalex-snapshot

Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation

inferredcites →https://doi.org/10.1109/iccv.2013.458openalex-snapshot

SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels

inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot

Fast R-CNN

inferredcites →https://doi.org/10.1109/iccv.2015.308openalex-snapshot

Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views

inferredcites →https://doi.org/10.1109/iccv.2017.169openalex-snapshot

SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again

inferredcites →https://doi.org/10.1109/iccv.2017.23openalex-snapshot

Real-Time Monocular Pose Estimation of 3D Objects Using Temporally Consistent Local Color Histograms

inferredcites →https://doi.org/10.1109/iccv.2017.322openalex-snapshot

Mask R-CNN

inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot

Focal Loss for Dense Object Detection

inferredcites →https://doi.org/10.1109/iccv.2017.413openalex-snapshot

BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth

inferredcites →https://doi.org/10.1109/iccv.2019.00938openalex-snapshot

M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

inferredcites →https://doi.org/10.1109/iccvw.2017.257openalex-snapshot

Introducing MVTec ITODD — A Dataset for 3D Object Recognition in Industry

inferredcites →https://doi.org/10.1109/iccvw.2019.00120openalex-snapshot

Temporal Coherence for Active Learning in Videos

inferredcites →https://doi.org/10.1109/iccvw.2019.00338openalex-snapshot

HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects

inferredcites →https://doi.org/10.1109/icra.2016.7487781openalex-snapshot

Fast 6D pose estimation for texture-less objects from a single RGB image

inferredcites →https://doi.org/10.1109/ivs.2019.8814050openalex-snapshot

Deep Learning based Vehicle Position and Orientation Estimation via Inverse Perspective Mapping Image

inferredcites →https://doi.org/10.1109/lra.2016.2532924openalex-snapshot

A Dataset for Improved RGBD-Based Object Detection and Pose Estimation for Warehouse Pick-and-Place

inferredcites →https://doi.org/10.1109/mra.2015.2448951openalex-snapshot

Benchmarking in Manipulation Research: Using the Yale-CMU-Berkeley Object and Model Set

inferredcites →https://doi.org/10.1109/robio.2016.7866501openalex-snapshot

Recent advances on application of deep learning for recovering object pose

inferredcites →https://doi.org/10.1109/tip.2019.2955239openalex-snapshot

Notice of Violation of IEEE Publication Principles: Recent Advances in 3D Object Detection in the Era of Deep Neural Networks: A Survey

inferredcites →https://doi.org/10.1109/tits.2019.2892405openalex-snapshot

A Survey on 3D Object Detection Methods for Autonomous Driving Applications

inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

inferredcites →https://doi.org/10.1109/wacv.2014.6836101openalex-snapshot

Beyond PASCAL: A benchmark for 3D object detection in the wild

inferredcites →https://doi.org/10.1109/wacv.2017.103openalex-snapshot

T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects

inferredcites →https://doi.org/10.1109/wacv.2017.108openalex-snapshot

Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection

inferredcites →https://doi.org/10.15607/rss.2018.xiv.019openalex-snapshot

PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

inferredcites →https://doi.org/10.1609/aaai.v33i01.33018409openalex-snapshot

Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors

inferredcites →https://doi.org/10.1609/aaai.v33i01.33018851openalex-snapshot

MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization

inferredcites →https://doi.org/10.3390/rs11121499openalex-snapshot

A Review on Deep Learning Techniques for 3D Sensed Data Classification

inferredcites →https://doi.org/10.48550/arxiv.1502.03143openalex-snapshot

Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols

inferredcites →https://doi.org/10.48550/arxiv.1604.01685openalex-snapshot

Cityscapes dataset for semantic urban scene understanding

inferredcites →https://doi.org/10.48550/arxiv.1701.05498openalex-snapshot

T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects

inferredcites →https://doi.org/10.48550/arxiv.1708.02002openalex-snapshot

Focal Loss for Dense Object Detection

inferredcites →https://doi.org/10.48550/arxiv.1711.07264openalex-snapshot

Light-Head R-CNN: In Defense of Two-Stage Object Detector

inferredcites →https://doi.org/10.48550/arxiv.1802.10367openalex-snapshot

Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image

inferredcites →https://doi.org/10.48550/arxiv.1808.08319openalex-snapshot

BOP: Benchmark for 6D Object Pose Estimation

inferredcites →https://doi.org/10.48550/arxiv.1811.00982openalex-snapshot

The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

inferredcites →https://doi.org/10.48550/arxiv.1811.08188openalex-snapshot

Orthographic Feature Transform for Monocular 3D Object Detection

inferredcites →https://doi.org/10.48550/arxiv.2004.10934openalex-snapshot

YOLOv4: Optimal Speed and Accuracy of Object Detection

inferredcites →https://doi.org/10.48550/arxiv.2006.07864openalex-snapshot

Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection

inferredcites →https://doi.org/10.5281/zenodo.10089705openalex-snapshot

ShapeNet: An Information-Rich 3D Model Repository

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Photoacoustic imaging aided with deep learning: a review

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Two-Phase Approach for Monocular Object Detection and 6-DoF Pose Estimation

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Deep Learning Frontiers in 3D Object Detection: A Comprehensive Review for Autonomous Driving

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3D Image Classification Based on Multi View CNN Using 2D Images

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Simulation and Performance Analysis of 3D Object Detection Algorithm using Deep Learning for Computer Vision Applications

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Real-time Monocular 3D People Localization and Tracking on Embedded System

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Pseudo-Stereo++: Cycled Generative Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving

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Mask-SL RCNN: Feature-Enhanced 3D Object Detection Network for Point Clouds

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