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Improving the Recognition of Known and Unknown Plant Disease Classes Using Deep Learning

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영문명
Improving the Recognition of Known and Unknown Plant Disease Classes Using Deep Learning
발행기관
한국스마트미디어학회
저자명
Yao Meng Jaehwan Lee Alvaro Fuentes Mun Haeng Lee Taehyun Kim Sook Yoon Dong Sun Park
간행물 정보
『스마트미디어저널』Vol13, No.8, 16~25쪽, 전체 10쪽
주제분류
공학 > 컴퓨터학
파일형태
PDF
발행일자
2024.08.30
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국문 초록

Recently, there has been a growing emphasis on identifying both known and unknown diseases in plant disease recognition. In this task, a model trained only on images of known classes is required to classify an input image into either one of the known classes or into an unknown class. Consequently, the capability to recognize unknown diseases is critical for model deployment. To enhance this capability, we are considering three factors. Firstly, we propose a new logits-based scoring function for unknown scores. Secondly, initial experiments indicate that a compact feature space is crucial for the effectiveness of logits-based methods, leading us to employ the AM-Softmax loss instead of Cross-entropy loss during training. Thirdly, drawing inspiration from the efficacy of transfer learning, we utilize a large plant-relevant dataset, PlantCLEF2022, for pre-training a model. The experimental results suggest that our method outperforms current algorithms. Specifically, our method achieved a performance of 97.90 CSA, 91.77 AUROC, and 90.63 OSCR with the ResNet50 model and a performance of 98.28 CSA, 92.05 AUROC, and 91.12 OSCR with the ConvNext base model. We believe that our study will contribute to the community.

영문 초록

목차

Ⅰ. INTRODUCTION
Ⅱ. MATERIAL AND METHODS
Ⅲ. EXPERIMENTS and VISUALIZATION
Ⅳ. CONCLUSION
REFERENCES

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APA

Yao Meng,Jaehwan Lee,Alvaro Fuentes,Mun Haeng Lee,Taehyun Kim,Sook Yoon,Dong Sun Park. (2024).Improving the Recognition of Known and Unknown Plant Disease Classes Using Deep Learning. 스마트미디어저널, 13 (8), 16-25

MLA

Yao Meng,Jaehwan Lee,Alvaro Fuentes,Mun Haeng Lee,Taehyun Kim,Sook Yoon,Dong Sun Park. "Improving the Recognition of Known and Unknown Plant Disease Classes Using Deep Learning." 스마트미디어저널, 13.8(2024): 16-25

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