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Auxiliary Cross-Modal Representation Learning with Triplet Loss
  Functions for Online Handwriting Recognition
v1v2v3 (latest)

Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition

IEEE Access (IEEE Access), 2022
16 February 2022
Felix Ott
David Rügamer
Lucas Heublein
B. Bischl
Christopher Mutschler
ArXiv (abs)PDFHTMLGithub

Papers citing "Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition"

4 / 4 papers shown
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Lucas Heublein
Nisha Lakshmana Raichur
Tobias Feigl
Tobias Brieger
Fin Heuer
Lennart Asbach
A. Rügamer
Felix Ott
549
11
0
31 Mar 2025
Radio Foundation Models: Pre-training Transformers for 5G-based Indoor
  Localization
Radio Foundation Models: Pre-training Transformers for 5G-based Indoor LocalizationInternational Conference on Indoor Positioning and Indoor Navigation (IPIN), 2024
Jonathan Ott
Jonas Pirkl
Maximilian Stahlke
Tobias Feigl
Christopher Mutschler
187
18
0
01 Oct 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
Nisha Lakshmana Raichur
Lucas Heublein
Tobias Feigl
A. Rügamer
Christopher Mutschler
Felix Ott
CLLBDL
545
15
0
17 May 2024
Few-Shot Learning with Uncertainty-based Quadruplet Selection for
  Interference Classification in GNSS Data
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data
Felix Ott
Lucas Heublein
Nisha Lakshmana Raichur
Tobias Feigl
Jonathan Hansen
A. Rügamer
Christopher Mutschler
397
11
0
09 Feb 2024
1
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