A closer look at data augmentation strategies for finetuning-based low/few-shot object detection

Vladislav Li; Georgios Tsoumplekas; Ilias Siniosoglou; Vasileios Argyriou; Anastasios Lytos; Eleftherios Fountoukidis; Panagiotis Sarigiannidis

doi:10.1109/SIES62473.2024.10767915

A closer look at data augmentation strategies for finetuning-based low/few-shot object detection

Vladislav Li, Georgios Tsoumplekas, Ilias Siniosoglou, Vasileios Argyriou, Anastasios Lytos, Eleftherios Fountoukidis, Panagiotis Sarigiannidis

Research output: Contribution to conference › Paper › peer-review

Original language	English
DOIs	https://doi.org/10.1109/SIES62473.2024.10767915
Publication status	Published - 25 Oct 2024
Event	14th International Symposium on Industrial Embedded Systems - Chengdu, China Duration: 23 Oct 2024 → 25 Oct 2024

Conference

Conference	14th International Symposium on Industrial Embedded Systems
Period	23/10/24 → 25/10/24

Bibliographical note

Note: Published in: 2024 IEEE 14th International Symposium on Industrial Embedded Systems (SIES). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9798350388640. ISSN 2150-3109.

Organising Body: Institute of Electrical and Electronics Engineers

Keywords

Computer science and informatics

Access to Document

10.1109/SIES62473.2024.10767915

https://doi.org/10.1109/SIES62473.2024.10767915

1 Conference contribution

A closer look at data augmentation strategies for finetuning-based low/few-shot object detection
Li, V., Tsoumplekas, G., Siniosoglou, I., Argyriou, V., Lytos, A., Fountoukidis, E. & Sarigiannidis, P., 25 Oct 2024, Published in: 2024 IEEE 14th International Symposium on Industrial Embedded Systems (SIES). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9798350388640. ISSN 2150-3109. Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers. p. 156-163
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Cite this

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title = "A closer look at data augmentation strategies for finetuning-based low/few-shot object detection",

keywords = "Computer science and informatics",

author = "Vladislav Li and Georgios Tsoumplekas and Ilias Siniosoglou and Vasileios Argyriou and Anastasios Lytos and Eleftherios Fountoukidis and Panagiotis Sarigiannidis",

note = "Note: Published in: 2024 IEEE 14th International Symposium on Industrial Embedded Systems (SIES). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9798350388640. ISSN 2150-3109. Organising Body: Institute of Electrical and Electronics Engineers; 14th International Symposium on Industrial Embedded Systems ; Conference date: 23-10-2024 Through 25-10-2024",

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AU - Li, Vladislav

AU - Tsoumplekas, Georgios

AU - Siniosoglou, Ilias

AU - Argyriou, Vasileios

AU - Lytos, Anastasios

AU - Fountoukidis, Eleftherios

AU - Sarigiannidis, Panagiotis

N1 - Note: Published in: 2024 IEEE 14th International Symposium on Industrial Embedded Systems (SIES). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9798350388640. ISSN 2150-3109. Organising Body: Institute of Electrical and Electronics Engineers

PY - 2024/10/25

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DO - 10.1109/SIES62473.2024.10767915

M3 - Paper

T2 - 14th International Symposium on Industrial Embedded Systems

Y2 - 23 October 2024 through 25 October 2024

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