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2020 – today
- 2024
[c3]Tommie Kerssies, Daan de Geus, Gijs Dubbelman:
How to Benchmark Vision Foundation Models for Semantic Segmentation? CVPR Workshops 2024: 1162-1171- [c2]Brunó Bence Englert, Fabrizio J. Piva, Tommie Kerssies, Daan de Geus, Gijs Dubbelman:
Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation. CVPR Workshops 2024: 1172-1180 - [i6]Tommie Kerssies, Daan de Geus, Gijs Dubbelman:
How to Benchmark Vision Foundation Models for Semantic Segmentation? CoRR abs/2404.12172 (2024) - [i5]Brunó Bence Englert, Fabrizio J. Piva, Tommie Kerssies, Daan de Geus, Gijs Dubbelman:
Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation. CoRR abs/2406.09896 (2024) - [i4]Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Tomás Vojír, Jan Sochman, Jirí Matas, Michael Smith, Frank P. Ferrie, Shamik Basu, Christos Sakaridis, Luc Van Gool:
The BRAVO Semantic Segmentation Challenge Results in UNCV2024. CoRR abs/2409.15107 (2024) - [i3]Tommie Kerssies, Daan de Geus, Gijs Dubbelman:
2024 BRAVO Challenge Track 1 1st Place Report: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation. CoRR abs/2409.17208 (2024) - 2023
- [c1]Tommie Kerssies, Joaquin Vanschoren:
Neural Architecture Search for Visual Anomaly Segmentation. AutoML 2023: 20/1-14 - [i2]Tommie Kerssies:
Neural Architecture Search for Visual Anomaly Segmentation. CoRR abs/2304.08975 (2023) - 2022
- [i1]Tommie Kerssies, Joaquin Vanschoren, Mert Kiliçkaya:
Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts. CoRR abs/2208.08767 (2022)
Coauthor Index
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