Record link: 
http://hdl.handle.net/20.500.12708/203934
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Title: 
Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
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Citation: 
Kniesel, H., Sick, L., Payer, T., Bergner, T., Shaga Devan, K., Read, C., Walther, P., Ropinski, T., & Hermosilla Casajus, P. (2024). Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images. In The Twelfth International Conference on Learning Representations. The Twelfth International Conference on Learning Representations (ICLR 2024), Wien, Austria. http://hdl.handle.net/20.500.12708/203934
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Publication Type: 
Inproceedings - Poster Contribution
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Language: 
English
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Authors: 
Kniesel, Hannah 
Sick, Leon 
Payer, Tristan 
Bergner, Tim 
Shaga Devan, Kavitha 
Read, Clarissa 
Walther, Paul 
Ropinski, Timo 
Hermosilla Casajus, Pedro 
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Organisational Unit: 
E193-01 - Forschungsbereich Computer Vision 
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Published in: 
The Twelfth International Conference on Learning Representations 
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Date (published): 
2024
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Event name: 
The Twelfth International Conference on Learning Representations (ICLR 2024) 
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Event date: 
7-May-2024 - 11-May-2024
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Event place: 
Wien, Austria
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Number of Pages: 
33
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Peer reviewed: 
Yes
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Keywords: 
Object Detection; Electron Microscopy; Knowledge Distillation; Virus particle detection
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 90%
1010 - Mathematik: 10%
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Appears in Collections:
Conference Paper

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