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A Procedural World Generation Framework for Systematic Evaluation of Continual Learning
4 June 2021
Timm Hess
Martin Mundt
Iuliia Pliushch
Visvanathan Ramesh
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Papers citing
"A Procedural World Generation Framework for Systematic Evaluation of Continual Learning"
5 / 5 papers shown
synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections?
Johannes Flotzinger
Fabian Deuser
Achref Jaziri
Heiko Neumann
Norbert Oswald
Visvanathan Ramesh
T. Braml
210
0
0
17 Jun 2025
Where is the Truth? The Risk of Getting Confounded in a Continual World
Florian Peter Busch
Roshni Kamath
Rupert Mitchell
Wolfgang Stammer
Kristian Kersting
Martin Mundt
CLL
CML
568
5
0
09 Feb 2024
Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Achref Jaziri
Martin Mundt
Andres Fernandez Rodriguez
Visvanathan Ramesh
303
14
0
18 Sep 2023
Lifelong Wandering: A realistic few-shot online continual learning setting
Mayank Lunayach
James Smith
Z. Kira
CLL
312
3
0
16 Jun 2022
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Neural Networks (NN), 2020
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
452
180
0
03 Sep 2020
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