Enhancing Plant and Disease Segmentation through Semi-Supervised Learning with Feature Distillation

So Yeon Jang; Goo Young Moon; Jong Ok Kim

doi:10.1109/ICCE-Asia59966.2023.10326382

Enhancing Plant and Disease Segmentation through Semi-Supervised Learning with Feature Distillation

So Yeon Jang, Goo Young Moon, Jong Ok Kim

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

Abstract

This paper proposes a network for plant and disease segmentation through semi-supervised learning in order to enhance agricultural production. Because of the hardness to get precisely labeled data, we use unlabeled data with pseudo labels. Furthermore, we employ a teacher-student network framework, where the teacher network imparts knowledge from labeled data to the student network. This boosts the segmentation precision of the student network, which is then exclusively trained on unlabeled data. We introduce a novel Exponential Moving Average (EMA) technique for teacher parameter updates, enhancing segmentation accuracy. Experimental results show that better segment performance can be achieved with the proposed network.

Original language	English
Title of host publication	2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350344318
DOIs	https://doi.org/10.1109/ICCE-Asia59966.2023.10326382
Publication status	Published - 2023
Event	2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023 - Busan, Korea, Republic of Duration: 2023 Oct 23 → 2023 Oct 25

Publication series

Name	2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023

Conference

Conference	2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023
Country/Territory	Korea, Republic of
City	Busan
Period	23/10/23 → 23/10/25

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

disease
knowledge distillation
plant
semantic segmentation
semi-supervised learning

ASJC Scopus subject areas

Computer Networks and Communications
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Media Technology
Instrumentation
Artificial Intelligence

Access to Document

10.1109/ICCE-Asia59966.2023.10326382

Cite this

Jang, S. Y., Moon, G. Y., & Kim, J. O. (2023). Enhancing Plant and Disease Segmentation through Semi-Supervised Learning with Feature Distillation. In 2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023 (2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Asia59966.2023.10326382

Enhancing Plant and Disease Segmentation through Semi-Supervised Learning with Feature Distillation. / Jang, So Yeon; Moon, Goo Young; Kim, Jong Ok.
2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023).

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

Jang, SY, Moon, GY & Kim, JO 2023, Enhancing Plant and Disease Segmentation through Semi-Supervised Learning with Feature Distillation. in 2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023. 2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023, Busan, Korea, Republic of, 23/10/23. https://doi.org/10.1109/ICCE-Asia59966.2023.10326382

Jang SY, Moon GY, Kim JO. Enhancing Plant and Disease Segmentation through Semi-Supervised Learning with Feature Distillation. In 2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023). doi: 10.1109/ICCE-Asia59966.2023.10326382

Jang, So Yeon ; Moon, Goo Young ; Kim, Jong Ok. / Enhancing Plant and Disease Segmentation through Semi-Supervised Learning with Feature Distillation. 2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023).

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abstract = "This paper proposes a network for plant and disease segmentation through semi-supervised learning in order to enhance agricultural production. Because of the hardness to get precisely labeled data, we use unlabeled data with pseudo labels. Furthermore, we employ a teacher-student network framework, where the teacher network imparts knowledge from labeled data to the student network. This boosts the segmentation precision of the student network, which is then exclusively trained on unlabeled data. We introduce a novel Exponential Moving Average (EMA) technique for teacher parameter updates, enhancing segmentation accuracy. Experimental results show that better segment performance can be achieved with the proposed network.",

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Enhancing Plant and Disease Segmentation through Semi-Supervised Learning with Feature Distillation

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this