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Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views

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What this work says

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

inferredcites →https://doi.org/10.1007/11957959_1openalex-snapshot
Object Recognition in the Geometric Era: A Retrospective
inferredcites →https://doi.org/10.1007/978-3-319-10578-9_23openalex-snapshot
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
inferredcites →https://doi.org/10.1007/978-3-319-10584-0_22openalex-snapshot
Analyzing the Performance of Multilayer Neural Networks for Object Recognition
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_41openalex-snapshot
Sliding Shapes for 3D Object Detection in Depth Images
inferredcites →https://doi.org/10.1007/978-3-319-24947-6_43openalex-snapshot
What Is Holding Back Convnets for Detection?
inferredcites →https://doi.org/10.1007/978-3-642-15561-1_35openalex-snapshot
Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics
inferredcites →https://doi.org/10.1007/978-3-642-33709-3_37openalex-snapshot
Large Scale Visual Geo-Localization of Images in Mountainous Terrain
inferredcites →https://doi.org/10.1007/978-3-642-33715-4_55openalex-snapshot
Beyond the Line of Sight: Labeling the Underlying Surfaces
inferredcites →https://doi.org/10.1007/978-3-642-33718-5_2openalex-snapshot
Worldwide Pose Estimation Using 3D Point Clouds
inferredcites →https://doi.org/10.1007/s11263-005-3674-1openalex-snapshot
3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints
inferredcites →https://doi.org/10.1007/s11263-013-0620-5openalex-snapshot
Selective Search for Object Recognition
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2011.5995347openalex-snapshot
Unbiased look at dataset bias
inferredcites →https://doi.org/10.1109/cvpr.2012.6248075openalex-snapshot
Teaching 3D geometry to deformable part models
inferredcites →https://doi.org/10.1109/cvpr.2014.487openalex-snapshot
Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298701openalex-snapshot
Understanding image representations by measuring their equivariance and equivalence
inferredcites →https://doi.org/10.1109/cvpr.2015.7299105openalex-snapshot
Aligning 3D models to RGB-D images of cluttered scenes
inferredcites →https://doi.org/10.1109/cvpr.2016.309openalex-snapshot
Cross Modal Distillation for Supervision Transfer
inferredcites →https://doi.org/10.1109/cvpr.2016.522openalex-snapshot
Inverting Visual Representations with Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.1998.710832openalex-snapshot
Robust multi-sensor image alignment
inferredcites →https://doi.org/10.1109/iccv.2007.4408891openalex-snapshot
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
inferredcites →https://doi.org/10.1109/iccv.2011.6126229openalex-snapshot
Ensemble of exemplar-SVMs for object detection and beyond
inferredcites →https://doi.org/10.1109/iccv.2011.6126265openalex-snapshot
Smooth object retrieval using a bag of boundaries
inferredcites →https://doi.org/10.1109/iccv.2013.372openalex-snapshot
Parsing IKEA Objects: Fine Pose Estimation
inferredcites →https://doi.org/10.1109/iccv.2015.151openalex-snapshot
Learning Deep Object Detectors from 3D Models
inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot
Fast R-CNN
inferredcites →https://doi.org/10.1109/iccv.2015.307openalex-snapshot
3D-Assisted Feature Synthesis for Novel Views of an Object
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.2015.329openalex-snapshot
Understanding Deep Features with Computer-Generated Imagery
inferredcites →https://doi.org/10.1109/iccv.2015.463openalex-snapshot
Simultaneous Deep Transfer Across Domains and Tasks
inferredcites →https://doi.org/10.1109/tpami.2009.167openalex-snapshot
Object Detection with Discriminatively Trained Part-Based Models
inferredcites →https://doi.org/10.1109/tpami.2013.163openalex-snapshot
Virtual and Real World Adaptation for Pedestrian Detection
inferredcites →https://doi.org/10.1109/tpami.2013.87openalex-snapshot
Detailed 3D Representations for Object Recognition and Modeling
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/10.1145/2508363.2508378openalex-snapshot
3-Sweep
inferredcites →https://doi.org/10.1145/2601097.2601159openalex-snapshot
Estimating image depth using shape collections
inferredcites →https://doi.org/10.1145/2601097.2601209openalex-snapshot
3D object manipulation in a single photograph using stock 3D models
inferredcites →https://doi.org/10.1145/2647868.2654889openalex-snapshot
Caffe
inferredcites →https://doi.org/10.1145/2766890openalex-snapshot
Single-view reconstruction via joint analysis of image and shape collections
inferredcites →https://doi.org/10.1145/2766959openalex-snapshot
Learning visual similarity for product design with convolutional neural networks
inferredcites →https://doi.org/10.1145/2816795.2818071openalex-snapshot
Joint embeddings of shapes and images via CNN image purification
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1162/neco.1989.1.4.541openalex-snapshot
Backpropagation Applied to Handwritten Zip Code Recognition
inferredcites →https://doi.org/10.13140/2.1.2839.7440openalex-snapshot
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model
inferredcites →https://doi.org/10.48550/arxiv.1407.5035openalex-snapshot
LSDA: Large Scale Detection Through Adaptation
inferredcites →https://doi.org/10.48550/arxiv.1411.1792openalex-snapshot
How transferable are features in deep neural networks?
inferredcites →https://doi.org/10.48550/arxiv.1412.6550openalex-snapshot
FitNets: Hints for Thin Deep Nets
inferredcites →https://doi.org/10.48550/arxiv.1503.02531openalex-snapshot
Distilling the Knowledge in a Neural Network
inferredcites →https://doi.org/10.5244/c.28.82openalex-snapshot
From Virtual to Reality: Fast Adaptation of Virtual Object Detectors to Real Domains

What points at this work

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

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A deep learning framework for real‐time 3D model registration in robot‐assisted laparoscopic surgery
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Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
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Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder
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Playing for Data: Ground Truth from Computer Games
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Face Synthesis for Eyeglass-Robust Face Recognition
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Learning color space adaptation from synthetic to real images of cirrus clouds
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Off-the-shelf CNN features for 3D object retrieval
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6D object position estimation from 2D images: a literature review
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Automatic Registration of Images to Untextured Geometry Using Average Shading Gradients
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Virtual Training for a Real Application: Accurate Object-Robot Relative Localization Without Calibration
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Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models
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3D-FUTURE: 3D Furniture Shape with TextURE
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Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis
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3D model retrieval and pose estimation for indoor images by simulating scene context
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Automatic 3D Car Model Alignment for Mixed Image-Based Rendering
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Synthesizing Training Images for Boosting Human 3D Pose Estimation
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Cross-Domain Image-Based 3D Shape Retrieval by View Sequence Learning
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Location Field Descriptors: Single Image 3D Model Retrieval in the Wild
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Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects
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HOC-Search: Efficient CAD Model and Pose Retrieval From RGB-D Scans
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Adversarial Adaptation From Synthesis to Reality in Fast Detector for Smoke Detection
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End-to-End 3D Face Reconstruction with Deep Neural Networks
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Procedural Generation of Videos to Train Deep Action Recognition Networks
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Semantic Multi-view Stereo: Jointly Estimating Objects and Voxels
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Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
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A Papier-Mache Approach to Learning 3D Surface Generation
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AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
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3D Pose Estimation and 3D Model Retrieval for Objects in the Wild
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Shape from Shading Through Shape Evolution
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Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images
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Single Image 3D Vehicle Pose Estimation for Augmented Reality
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Improving Face Anti-Spoofing by 3D Virtual Synthesis
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Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
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Rethinking Reprojection: Closing the Loop for Pose-Aware Shape Reconstruction from a Single Image
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Learning 3D Object Categories by Looking Around Them
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Joint Embedding of 3D Scan and CAD Objects
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Image-Based 3D Model Retrieval for Indoor Scenes by Simulating Scene Context
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Viewpoint Estimation in Images by a Key-Point Based Deep Neural Network
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Real-to-Synthetic Feature Transform for Illumination Invariant Camera Localization
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Few-shot Object Detection and Viewpoint Estimation for Objects in the Wild
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iSPA-Net
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HGAN
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Pose initialization method of mixed reality system for inspection using convolutional neural network
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Intelligent and Robust 3D shape measurement for in-situ applications
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Image synthesis in visual machine learning
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RenderGAN: Generating Realistic Labeled Data
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Learning Local Descriptor for Comparing Renders with Real Images
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Synthesizing Training Images for Boosting Human 3D Pose Estimation
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The Artificial Mind's Eye: Resisting Adversarials for Convolutional Neural Networks using Internal Projection
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Playing for Data: Ground Truth from Computer Games
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Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
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Domain Adaptation for Visual Applications: A Comprehensive Survey
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iSPA-Net: Iterative Semantic Pose Alignment Network
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Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
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MURAUER: Mapping Unlabeled Real Data for Label AUstERity
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Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation
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Improving Face Anti-Spoofing by 3D Virtual Synthesis
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Few-Shot Viewpoint Estimation
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Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning
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CAD-based Learning for Egocentric Object Detection in Industrial Context
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Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization
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Réseaux de neurones convolutionnels profonds pour la détection de petits véhicules en imagerie aérienne
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Improving speed and image quality of image-based rendering
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Représentations à base de parties pour la vision 3D de haut niveau
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Object viewpoint estimation in the wild
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Détection et estimation de pose d'instances d'objet rigide pour la manipulation robotisée
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Learning human body and human action representations from visual data
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