- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: npj Computational Materials, 8, Springer, https://doi.org/10.26083/tuprints-00021425
- Event
-
Veröffentlichung
- (where)
-
Darmstadt
- (who)
-
Universitäts- und Landesbibliothek
- (when)
-
2022
- Creator
- DOI
-
10.26083/tuprints-00021425
- URN
-
urn:nbn:de:tuda-tuprints-214250
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:47 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Lin, Binbin
- Emami, Nima
- Santos, David A.
- Luo, Yuting
- Banerjee, Sarbajit
- Xu, Bai-Xiang
- Universitäts- und Landesbibliothek
Time of origin
- 2022
Other Objects (12)
Smart(sampling)augment: optimal and efficient data augmentation for semantic segmentation
Segmentation-Based Building Analysis from Polarimetric Synthetic Aperture Radar Images
Investigating Semantic Augmentation in Virtual Environments for Image Segmentation Using Convolutional Neural Networks
Acquisition, Modeling, and Augmentation of Reflectance for Synthetic Optical Flow Reference Data
Nitride Nanowire Heterostructures
Nitride nanowire heterostructures
Core-Shell Capsule Image Segmentation through Deep Learning with Synthetic Training Data
Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation
Data augmentation for semantic segmentation in the context of carbon fiber defect detection using adversarial learning
Segmentation in Tomography Data : Exploring Data Augmentation for Supervised and Unsupervised Voxel Classification with Neural Networks
Penile augmentation
Synthetic image data augmentation for fibre layup inspection processes: Techniques to enhance the data set
Smart(sampling)augment: optimal and efficient data augmentation for semantic segmentation
Segmentation-Based Building Analysis from Polarimetric Synthetic Aperture Radar Images
Investigating Semantic Augmentation in Virtual Environments for Image Segmentation Using Convolutional Neural Networks
Acquisition, Modeling, and Augmentation of Reflectance for Synthetic Optical Flow Reference Data
Nitride Nanowire Heterostructures
Nitride nanowire heterostructures
Core-Shell Capsule Image Segmentation through Deep Learning with Synthetic Training Data
Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation
Data augmentation for semantic segmentation in the context of carbon fiber defect detection using adversarial learning
Segmentation in Tomography Data : Exploring Data Augmentation for Supervised and Unsupervised Voxel Classification with Neural Networks
Penile augmentation
Synthetic image data augmentation for fibre layup inspection processes: Techniques to enhance the data set
Smart(sampling)augment: optimal and efficient data augmentation for semantic segmentation
Segmentation-Based Building Analysis from Polarimetric Synthetic Aperture Radar Images
Investigating Semantic Augmentation in Virtual Environments for Image Segmentation Using Convolutional Neural Networks
Acquisition, Modeling, and Augmentation of Reflectance for Synthetic Optical Flow Reference Data
Nitride Nanowire Heterostructures
Nitride nanowire heterostructures
Core-Shell Capsule Image Segmentation through Deep Learning with Synthetic Training Data
Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation
Data augmentation for semantic segmentation in the context of carbon fiber defect detection using adversarial learning
Segmentation in Tomography Data : Exploring Data Augmentation for Supervised and Unsupervised Voxel Classification with Neural Networks
Penile augmentation