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Mmn6d: 6d Pose Estimation Network Based on Attention Mechanism and Multi-Channel Cross-Fusion

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inferredcites →https://doi.org/10.1002/rob.21918openalex-extracted
A survey of deep learning techniques for autonomous driving
inferredcites →https://doi.org/10.1007/978-3-030-01234-2_1openalex-extracted
CBAM: Convolutional Block Attention Module
inferredcites →https://doi.org/10.1007/978-3-030-01249-6_2openalex-extracted
BOP: Benchmark for 6D Object Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-030-01270-0_16openalex-extracted
A Unified Framework for Multi-view Multi-class Object Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-030-58452-8_7openalex-extracted
Self6D: Self-supervised Monocular 6D Object Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_41openalex-extracted
Sliding Shapes for 3D Object Detection in Depth Images
inferredcites →https://doi.org/10.1007/s10462-020-09888-5openalex-extracted
Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review
inferredcites →https://doi.org/10.1007/s11263-005-3674-1openalex-extracted
3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints
inferredcites →https://doi.org/10.1007/s11263-008-0152-6openalex-extracted
EPnP: An Accurate O(n) Solution to the PnP Problem
inferredcites →https://doi.org/10.1016/j.cviu.2019.01.005openalex-extracted
Holistic and local patch framework for 6D object pose estimation in RGB-D images
inferredcites →https://doi.org/10.1016/j.cviu.2023.103907openalex-extracted
Indoor Synthetic Data Generation: A Systematic Review
inferredcites →https://doi.org/10.1016/j.patrec.2019.08.016openalex-extracted
3D object recognition and pose estimation for random bin-picking using Partition Viewpoint Feature Histograms
inferredcites →https://doi.org/10.1109/cvpr.2014.487openalex-extracted
Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models
inferredcites →https://doi.org/10.1109/cvpr.2016.609openalex-extracted
Volumetric and Multi-view CNNs for Object Classification on 3D Data
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.94openalex-extracted
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
inferredcites →https://doi.org/10.1109/cvpr.2017.16openalex-extracted
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.597openalex-extracted
3D Bounding Box Estimation Using Deep Learning and Geometry
inferredcites →https://doi.org/10.1109/cvpr.2018.00033openalex-extracted
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
inferredcites →https://doi.org/10.1109/cvpr.2018.00102openalex-extracted
Frustum PointNets for 3D Object Detection from RGB-D Data
inferredcites →https://doi.org/10.1109/cvpr.2018.00472openalex-extracted
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2018.00745openalex-extracted
Squeeze-and-Excitation Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00346openalex-extracted
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
inferredcites →https://doi.org/10.1109/cvpr.2019.00469openalex-extracted
PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00300openalex-extracted
Single-Stage 6D Object Pose Estimation
inferredcites →https://doi.org/10.1109/iccv.2011.6126326openalex-extracted
Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes
inferredcites →https://doi.org/10.1109/iccv.2017.169openalex-extracted
SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again
inferredcites →https://doi.org/10.1109/iccv.2017.413openalex-extracted
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.2019.00203openalex-extracted
DPOD: 6D Pose Object Detector and Refiner
inferredcites →https://doi.org/10.1109/icip40778.2020.9191119openalex-extracted
Pointvotenet: Accurate Object Detection And 6 DOF Pose Estimation In Point Clouds
inferredcites →https://doi.org/10.1109/icra.2014.6907430openalex-extracted
Single image 3D object detection and pose estimation for grasping
inferredcites →https://doi.org/10.1109/icra.2018.8460875openalex-extracted
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
inferredcites →https://doi.org/10.1109/tip.2021.3078109openalex-extracted
Efficient Center Voting for Object Detection and 6D Pose Estimation in 3D Point Cloud
inferredcites →https://doi.org/10.1109/tnnls.2020.3015992openalex-extracted
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
inferredcites →https://doi.org/10.1109/wacv.2017.103openalex-extracted
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects
inferredcites →https://doi.org/10.15607/rss.2018.xiv.019openalex-extracted
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
inferredcites →https://doi.org/10.17023/peyy-1m74openalex-extracted
POINTVOTENET: ACCURATE OBJECT DETECTION AND 6 DOF POSE ESTIMATION IN POINT CLOUDS
inferredcites →https://doi.org/10.2139/ssrn.4528507openalex-extracted
Indoor Synthetic Data Generation: A Systematic Review
inferredcites →https://doi.org/10.3390/diagnostics11061071openalex-extracted
Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network
inferredcites →https://doi.org/10.3390/robotics9020021openalex-extracted
Augmented Reality for Robotics: A Review
inferredcites →https://doi.org/10.48550/arxiv.1709.01507openalex-extracted
Squeeze-and-Excitation Networks
inferredcites →https://doi.org/10.48550/arxiv.1803.08103openalex-extracted
A Unified Framework for Multi-View Multi-Class Object Pose Estimation
inferredcites →https://doi.org/10.48550/arxiv.1807.03146openalex-extracted
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning
inferredcites →https://doi.org/10.48550/arxiv.1809.10790openalex-extracted
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
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