Hochschulschrift
Test-time adaptation using self-supervised representation learning
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Dimensions
-
21 cm
- Extent
-
xiv, 142 Seiten
- Language
-
Englisch
- Notes
-
Diagramme
Universität Stuttgart, Dissertation, 2024
- Classification
-
Biowissenschaften, Biologie
- Table of contents
- Rights
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
- 11.06.2025, 2:04 PM CEST
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.
Object type
- Hochschulschrift
Associated
Time of origin
- 2024
Other Objects (12)
Self-supervised Face Representation Learning
Self-Supervised Representation learning for Anomaly Detection
Self-Supervised Video Representation Learning and Downstream Applications
Contrastive Self-supervised Representation Learning Using Synthetic Data
Self-supervised representation learning for surgical activity recognition
A framework for self-supervised federated domain adaptation
Node and edge dual-masked self-supervised graph representation
Series2vec: similarity-based self-supervised representation learning for time series classification
Contrastive self-supervised representation learning framework for metal surface defect detection
Self-Supervised Adversarial Shape Completion
Evaluating and improving robustness in reinforcement learning using self-supervised representation learning
SimGRL: a simple self-supervised graph representation learning framework via triplets
Self-supervised Face Representation Learning
Self-Supervised Representation learning for Anomaly Detection
Self-Supervised Video Representation Learning and Downstream Applications
Contrastive Self-supervised Representation Learning Using Synthetic Data
Self-supervised representation learning for surgical activity recognition
A framework for self-supervised federated domain adaptation
Node and edge dual-masked self-supervised graph representation
Series2vec: similarity-based self-supervised representation learning for time series classification
Contrastive self-supervised representation learning framework for metal surface defect detection
Self-Supervised Adversarial Shape Completion
Evaluating and improving robustness in reinforcement learning using self-supervised representation learning
SimGRL: a simple self-supervised graph representation learning framework via triplets
Self-supervised Face Representation Learning
Self-Supervised Representation learning for Anomaly Detection
Self-Supervised Video Representation Learning and Downstream Applications
Contrastive Self-supervised Representation Learning Using Synthetic Data
Self-supervised representation learning for surgical activity recognition
A framework for self-supervised federated domain adaptation
Node and edge dual-masked self-supervised graph representation
Series2vec: similarity-based self-supervised representation learning for time series classification
Contrastive self-supervised representation learning framework for metal surface defect detection
Self-Supervised Adversarial Shape Completion
Evaluating and improving robustness in reinforcement learning using self-supervised representation learning