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Fully group convolutional neural networks for robust spectral-spatial feature learning
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Spectral feature fusion networks with dual attention for hyperspectral image classification
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Hybrid-hypergraph regularized multiview subspace clustering for hyperspectral images
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Subspace clustering for hyperspectral images via dictionary learning with adaptive regularization
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A structural subspace clustering approach for hyperspectral band selection
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Efficient local image descriptors learned with autoencoders
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Heterogeneous regularization-based tensor subspace clustering for hyperspectral band selection
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Virtual restoration of paintings based on deep learning
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Virtual restoration of paintings using adaptive adversarial neural network
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Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis
(2022) -
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Recent Progress in Epicardial and Pericardial Adipose Tissue Segmentation and Quantification Based on Deep Learning: A Systematic Review
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Assisting classical paintings restoration : efficient paint loss detection and descriptor-based inpainting using shared pretraining
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A two-stream neural network architecture for the detection and analysis of cracks in panel paintings
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A study on the label noise impact on the hyperspectral image classification
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Fast full search equivalent block matching for multichannel images
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On extending the ADMM algorithm to the quaternion algebra setting
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Acoustic seafloor classification using the Weyl transform of multibeam echosounder backscatter mosaic
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The impact of label noise on the classification models for hyperspectral images
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Invertible local image descriptors learned with variational autoencoders
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The impact of non-uniform label noise on the classification of hyperspectral images
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Multimodal extension of the ML-CSC framework for medical image segmentation
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Deep image hashing based on twin-bottleneck hashing with variational autoencoders
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β-variational autoencoders for learning invertible local image descriptors
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Hierarchical variational autoencoders for visual counterfactuals
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Crack detection in paintings using convolutional neural networks
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Multi-view subspace clustering for hyperspectral images
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Deep feature fusion via two-stream convolutional neural network for hyperspectral image classification
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Automated visual inspection algorithm for the reflection detection and removing in image sequences
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Sketch-based subspace clustering of hyperspectral images
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A robust dynamic classifier selection approach for hyperspectral images with imprecise label information
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Multimodal target detection by sparse coding : application to paint loss detection in paintings
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Accelerating in vivo fast spin echo high angular resolution diffusion imaging with an isotropic resolution in mice through compressed sensing
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A deep learning-based approach for defect detection and removing on archival photos
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A deep learning approach to crack detection on road surfaces
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Variational auto-encoders without graph coarsening for fine mesh learning
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On variational auto-encoders for fixed graph mesh learning
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Sketched sparse subspace clustering for large-scale hyperspectral images
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MRI reconstruction using Markov random field and total variation as composite prior
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Learned BRIEF : transferring the knowledge from hand-crafted to learning-based descriptors
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Overview of the whole heart and heart chamber segmentation methods
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- Journal Article
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Three-dimensional block matching using orthonormal tree-structured haar transform for multichannel images
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Wetenschap : virtuele restauratie en wiskundige analyse van parels in het Lam Gods
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Science : restauration virtuelle et analyse mathématique des perles présentes dans l'Agneau mystique
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Science : virtual restauration and mathematical analysis of the pearls in the Ghent Altarpiece
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Learning local image descriptors with autoencoders
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Classification of multibeam sonar image using the Weyl transform
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Deep learning for paint loss detection with a multiscale, translation invariant network
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Landmark-based large-scale sparse subspace clustering method for hyperspectral images
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- Conference Paper
- C1
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Image defect detection algorithm based on deep learning
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- Conference Paper
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Partial convolution based multimodal autoencoder for art investigation