tag :: Vision

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1On optimizing morphological neural networks for hyperspectral image classification
M. Kukushkin, M. Bogdan, and T. Schmid. Sixteenth International Conference on Machine Vision (ICMV 2023), 13072, page 1307202. International Society for Optics and Photonics, SPIE, (2024)
2 months ago by @scadsfct
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classification
computer
deep
hyperspectral
image
learning
mathematical
morphological
morphology
networks
neuronal
nopdf
remote
sensing
vision
classificationcomputerdeephyperspectralimagelearningmathematicalmorphologicalmorphologynetworksneuronalnopdfremotesensingvision
(0)
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2Content-Aware Depth-Adaptive Image Restoration
T. Vargis, and S. Ghiasvand. Proceedings of the 29th International Conference on Automation and Computing, Sunderland, UK, (January 2024)arXiv:2401.05049 cs.
3 months ago by @ghiasvan
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Computer
Learning,
Machine
Pattern
Recognition,
Science
Vision
and
myOwn
ComputerLearning,MachinePatternRecognition,ScienceVisionandmyOwn
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1Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.
M. Bauer, and C. Augenstein. Proceedings of the 18th Conference on Computer Science and Intelligence Systems, volume 35 of FedCSIS 2023, page 93–101. IEEE, (September 2023)
3 months ago by @scadsfct
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Comparative
Computer
Data
Learning
Self-Supervised
Study
Unlabelled
Vision
yaff
ComparativeComputerDataLearningSelf-SupervisedStudyUnlabelledVisionyaff
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2Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning
L. Lange, M. Heykeroth, and E. Rahm. arXiv preprint arXiv:2409.01329, (September 2024)
4 months ago by @scadsfct
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area_responsibleai
area_bigdata
(cs.CR),
(cs.CV),
(cs.LG),
Computer
Cryptography
FOS:
Learning
Machine
Pattern
Recognition
Security
Vision
and
ep
information
sciences
area_responsibleaiarea_bigdata(cs.CR),(cs.CV),(cs.LG),ComputerCryptographyFOS:LearningMachinePatternRecognitionSecurityVisionandepinformationsciences
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1Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology
N. Ghaffari Laleh, H. Muti, C. Loeffler, A. Echle, O. Saldanha, F. Mahmood, M. Lu, C. Trautwein, R. Langer, B. Dislich and 13 other author(s). Med. Image Anal., 79 (102474): 102474 (July 2022)
6 months ago by @scadsfct
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topic_lifescience
Artificial
Computational
Convolutional
Learning;
Multiple-Instance
Vision
Weakly-supervised
deep
intelligence;
learning
networks;
neural
pathology;
transformers;
topic_lifescienceArtificialComputationalConvolutionalLearning;Multiple-InstanceVisionWeakly-superviseddeepintelligence;learningnetworks;neuralpathology;transformers;
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1On optimizing morphological neural networks for hyperspectral image classification

2Content-Aware Depth-Adaptive Image Restoration

1Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.

2Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning

1Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

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PUMA

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publications (hide)5 displayallpublications onlypublications per page5102050100 sort byadded attitleauthorpublication dateentry typehelp for advanced sorting... RSSBibTeXRDFmore...

1On optimizing morphological neural networks for hyperspectral image classification

2Content-Aware Depth-Adaptive Image Restoration

1Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.

2Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning

1Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

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