4 papers
Explainable Multi-Loss Distillation Framework for Efficient and Interpretable Shrimp Disease Text Classification
Anh Nguyen Quynh, Khang Nguyen Quoc, Luyl-Da Quach
Shrimp disease classification has become an urgent issue due to its significant impact on the import-export output of producing countries, particularly Vietnam. Most existing studi…
TomaMMU: A Comprehensive Multimodal Understanding Benchmark for Tomato Leaf Diseases
Gia-Han Truong, Khang Nguyen Quoc, Luyl-Da Quach
To address this gap, we introduce TomaMMU, a large-scale Tomato leaf disease MultiModal Understanding dataset, alongside TomaBench, a benchmark for evaluating VLMs on tomato diseas…
LeafNet: A Large-Scale Dataset and Comprehensive Benchmark for Foundational Vision-Language Understanding of Plant Diseases
Khang Nguyen Quoc, Phuong D. Dao, Luyl-Da Quach
Foundation models and vision-language pre-training have significantly advanced Vision-Language Models (VLMs), enabling multimodal processing of visual and linguistic data. However,…
A Vision-Language Foundation Model for Leaf Disease Identification
Khang Nguyen Quoc, Lan Le Thi Thu, Luyl-Da Quach
Leaf disease identification plays a pivotal role in smart agriculture. However, many existing studies still struggle to integrate image and textual modalities to compensate for eac…