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cs.CV2024
Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification
Jihen Amara, Birgitta König-Ries, Sheeba Samuel
While deep learning has significantly advanced automatic plant disease detection through image-based classification, improving model explainability remains crucial for reliable dis…
cs.CV2024
Enhancing Explainability in Multimodal Large Language Models Using Ontological Context
Jihen Amara, Birgitta König-Ries, Sheeba Samuel
Recently, there has been a growing interest in Multimodal Large Language Models (MLLMs) due to their remarkable potential in various tasks integrating different modalities, such as…