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Self-supervised Image-based 3D Model Retrieval

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-01264-9_9openalex-snapshot
Deep Clustering for Unsupervised Learning of Visual Features
inferredcites →https://doi.org/10.1007/978-3-030-58621-8_45openalex-snapshot
Contrastive Multiview Coding
inferredcites →https://doi.org/10.1016/j.ins.2020.09.057openalex-snapshot
Hierarchical multi-view context modelling for 3D object classification and retrieval
inferredcites →https://doi.org/10.1016/j.neucom.2020.05.032openalex-snapshot
Adversarial open set domain adaptation via progressive selection of transferable target samples
inferredcites →https://doi.org/10.1109/access.2019.2949697openalex-snapshot
Self-Supervised Domain Adaptation for Computer Vision Tasks
inferredcites →https://doi.org/10.1109/cvpr.1994.323798openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2004.1315131openalex-snapshot
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2015.7298801openalex-snapshot
3D ShapeNets: A deep representation for volumetric shapes
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.16openalex-snapshot
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.316openalex-snapshot
Adversarial Discriminative Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr.2017.547openalex-snapshot
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr.2017.76openalex-snapshot
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
inferredcites →https://doi.org/10.1109/cvpr.2018.00035openalex-snapshot
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00973openalex-snapshot
Improvements to Context Based Self-Supervised Learning
inferredcites →https://doi.org/10.1109/cvpr.2019.00202openalex-snapshot
Revisiting Self-Supervised Visual Representation Learning
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00442openalex-snapshot
Structure Preserving Generative Cross-Domain Learning
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00674openalex-snapshot
Self-Supervised Learning of Pretext-Invariant Representations
inferredcites →https://doi.org/10.1109/iccv.1995.466933openalex-snapshot
Proceedings of IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/iccv.2015.114openalex-snapshot
Multi-view Convolutional Neural Networks for 3D Shape Recognition
inferredcites →https://doi.org/10.1109/iccv.2015.167openalex-snapshot
Unsupervised Visual Representation Learning by Context Prediction
inferredcites →https://doi.org/10.1109/iccv.2019.00305openalex-snapshot
Unsupervised Pre-Training of Image Features on Non-Curated Data
inferredcites →https://doi.org/10.1109/iccv48922.2021.00007openalex-snapshot
MVTN: Multi-View Transformation Network for 3D Shape Recognition
inferredcites →https://doi.org/10.1109/tcsvt.2021.3070969openalex-snapshot
CLN: Cross-Domain Learning Network for 2D Image-Based 3D Shape Retrieval
inferredcites →https://doi.org/10.1109/tip.2019.2940693openalex-snapshot
Scalable Deep Hashing for Large-Scale Social Image Retrieval
inferredcites →https://doi.org/10.1109/tip.2020.3037518openalex-snapshot
Self-Supervised Deep Correlation Tracking
inferredcites →https://doi.org/10.1109/tmm.2020.2966882openalex-snapshot
Sketch-Based Shape Retrieval via Best View Selection and a Cross-Domain Similarity Measure
inferredcites →https://doi.org/10.1109/tmm.2020.3015554openalex-snapshot
Universal Cross-Domain 3D Model Retrieval
inferredcites →https://doi.org/10.1109/wacv.2018.00092openalex-snapshot
Learning Image Representations by Completing Damaged Jigsaw Puzzles
inferredcites →https://doi.org/10.1145/1273496openalex-snapshot
Proceedings of the 24th international conference on Machine learning
inferredcites →https://doi.org/10.1145/3240508.3240512openalex-snapshot
Visual Domain Adaptation with Manifold Embedded Distribution Alignment
inferredcites →https://doi.org/10.1145/3284750openalex-snapshot
CM-GANs
inferredcites →https://doi.org/10.1145/3329714.3338130openalex-snapshot
3D Point Cloud Compression
inferredcites →https://doi.org/10.1145/3331184.3331217openalex-snapshot
Online Multi-modal Hashing with Dynamic Query-adaption
inferredcites →https://doi.org/10.1145/3343031.3351009openalex-snapshot
MMJN: Multi-Modal Joint Networks for 3D Shape Recognition
inferredcites →https://doi.org/10.1145/3343031.3351011openalex-snapshot
Dual-level Embedding Alignment Network for 2D Image-Based 3D Object Retrieval
inferredcites →https://doi.org/10.1145/3344684openalex-snapshot
HGAN
inferredcites →https://doi.org/10.1145/3377876openalex-snapshot
Exploring Deep Learning for View-Based 3D Model Retrieval
inferredcites →https://doi.org/10.1145/3387920openalex-snapshot
Multi-View Graph Matching for 3D Model Retrieval
inferredcites →https://doi.org/10.1145/3394171openalex-snapshot
Proceedings of the 28th ACM International Conference on Multimedia
inferredcites →https://doi.org/10.1145/3486251openalex-snapshot
Instance Correlation Graph for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.2312/3dor.20191059openalex-snapshot
Extended 2D Scene Sketch-Based 3D Scene Retrieval
inferredcites →https://doi.org/10.2312/3dor.20191068openalex-snapshot
Monocular Image Based 3D Model Retrieval

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s41230-025-4145-7openalex-snapshot
Deep learning retrieval of 3D casting models combined with professional knowledge for process reuse
inferred← citeshttps://doi.org/10.1016/j.cad.2025.103932openalex-snapshot
ViewCloud: A lightweight multi-view point cloud representation for efficient 3D recognition and cross-domain retrieval
inferred← citeshttps://doi.org/10.1016/j.cag.2023.07.026openalex-snapshot
TextANIMAR: Text-based 3D animal fine-grained retrieval
inferred← citeshttps://doi.org/10.1049/cit2.12326openalex-snapshot
3D shape knowledge graph for cross‐domain 3D shape retrieval
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01610openalex-snapshot
Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval
inferred← citeshttps://doi.org/10.1109/icvrv62410.2024.00021openalex-snapshot
Single image 3D model retrieval based on feature fusion and view grouping
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3384311openalex-snapshot
OPEN: Occlusion-Invariant Perception Network for Single Image-Based 3D Shape Retrieval
inferred← citeshttps://doi.org/10.1109/tpami.2024.3412760openalex-snapshot
HOPE: A Hierarchical Perspective for Semi-Supervised 2D-3D Cross-Modal Retrieval
inferred← citeshttps://doi.org/10.1117/12.3031332openalex-snapshot
Construction and performance evaluation of an efficient local feature descriptor based on polar coordinates
inferred← citeshttps://doi.org/10.1145/3774521.3774582openalex-snapshot
Mesh Object Retrieval using Self-Supervised Mesh Convolution
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