3 papers
cs.CV2026
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…
cs.CV2026
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…
cs.CV2026
TaxoMIL: Taxonomy-Constrained Learning for Hierarchical Whole Slide Image Analysis
Chaeyeon Lee, Khang Nguyen Quoc, Jinsol Song +3
Whole slide image (WSI) analysis is central to computational pathology, with multiple instance learning (MIL) emerging as the standard pipeline for slide-level diagnosis. However,…