- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Heidelberg, Universität Heidelberg, Dissertation, 2020
- Keyword
-
Learning
Supervision
Maschinelles Sehen
Deep Learning
Unsupervised Learning
- Event
-
Veröffentlichung
- (where)
-
Heidelberg
- (who)
-
Universitätsbibliothek Heidelberg
- (when)
-
2021
- Creator
- Contributor
- DOI
-
10.11588/heidok.00029205
- URN
-
urn:nbn:de:bsz:16-heidok-292054
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:20 AM 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.
Associated
- Büchler, Uta
- Ommer, Björn
- Universitätsbibliothek Heidelberg
Time of origin
- 2021
Other Objects (12)
Visual representation learning for matching and retrieval using minimal supervision
Visual Representation Learning with Limited Supervision
Visual Similarity and Representation Learning
Visual Similarity Using Limited Supervision
Beyond Supervised Learning: Exploring Alternative Forms of Supervision for Visual Recognition
LiRA: learning visual speech representations from audio through self-supervision
Causal Reasoning Meets Visual Representation Learning: A Prospective Study
Deep Visual Parsing with Limited Supervision
Modeling and Analyzing Dynamics of Visual Processes With Representation Learning
Minimal sincere modules of representation-directed algebras
On the minimal representation of homogeneous games
Master Annotator : enhancing distant supervision through visual interfaces
Visual representation learning for matching and retrieval using minimal supervision
Visual Representation Learning with Limited Supervision
Visual Similarity and Representation Learning
Visual Similarity Using Limited Supervision
Beyond Supervised Learning: Exploring Alternative Forms of Supervision for Visual Recognition
LiRA: learning visual speech representations from audio through self-supervision
Causal Reasoning Meets Visual Representation Learning: A Prospective Study
Deep Visual Parsing with Limited Supervision
Modeling and Analyzing Dynamics of Visual Processes With Representation Learning
Minimal sincere modules of representation-directed algebras
On the minimal representation of homogeneous games
Master Annotator : enhancing distant supervision through visual interfaces
Visual representation learning for matching and retrieval using minimal supervision
Visual Representation Learning with Limited Supervision
Visual Similarity and Representation Learning
Visual Similarity Using Limited Supervision
Beyond Supervised Learning: Exploring Alternative Forms of Supervision for Visual Recognition
LiRA: learning visual speech representations from audio through self-supervision
Causal Reasoning Meets Visual Representation Learning: A Prospective Study
Deep Visual Parsing with Limited Supervision
Modeling and Analyzing Dynamics of Visual Processes With Representation Learning
Minimal sincere modules of representation-directed algebras
On the minimal representation of homogeneous games