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: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	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
Pages	156-163
DOIs	https://doi.org/10.1109/SIES62473.2024.10767915
Publication status	Published - 25 Oct 2024

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

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 Paper

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

Cite this

Li, V., Tsoumplekas, G., Siniosoglou, I., Argyriou, V., Lytos, A., Fountoukidis, E., & Sarigiannidis, P. (2024). A closer look at data augmentation strategies for finetuning-based low/few-shot object detection. In 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 (pp. 156-163) https://doi.org/10.1109/SIES62473.2024.10767915

Li, Vladislav ; Tsoumplekas, Georgios ; Siniosoglou, Ilias et al. / A closer look at data augmentation strategies for finetuning-based low/few-shot object detection. 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. 2024. pp. 156-163

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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 Organising Body: Institute of Electrical and Electronics Engineers",

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Li, V, Tsoumplekas, G, Siniosoglou, I, Argyriou, V, Lytos, A, Fountoukidis, E & Sarigiannidis, P 2024, A closer look at data augmentation strategies for finetuning-based low/few-shot object detection. in 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. pp. 156-163. https://doi.org/10.1109/SIES62473.2024.10767915

A closer look at data augmentation strategies for finetuning-based low/few-shot object detection. / Li, Vladislav; Tsoumplekas, Georgios; Siniosoglou, Ilias et al.
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. 2024. p. 156-163.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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 Organising Body: Institute of Electrical and Electronics Engineers

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BT - 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

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Li V, Tsoumplekas G, Siniosoglou I, Argyriou V, Lytos A, Fountoukidis E et al. A closer look at data augmentation strategies for finetuning-based low/few-shot object detection. In 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. 2024. p. 156-163 doi: 10.1109/SIES62473.2024.10767915