3 papers
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
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,…
cs.CV2025
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…