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cs.CV2026

Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI

Joao Manoel Herrera Pinheiro, Gabriela Do Nascimento Herrera, Alvaro Doria Dos Santos +7

The paper presents a YOLO-based deep learning system combined with HiResCAM to automatically identify Ichneumonoidea wasp families from high‑resolution images, achieving over 96% a…

cs.CV2026

Biological Sex Determination in Cadavers Using Deep Learning Algorithms from Computed Tomography Images of Pelvis and Skull

Giovanna Herculano Tormena, Davi Nascimento Araújo, Germano Coimbra Soares de Carvalho +10

Sexual identification of decomposed cadavers challenges traditional methods dependent on visual anthropological analysis. This study evaluates state-of-the-art deep learning (inclu…

cs.CV2026

Descriptor: Parasitoid Wasps and Associated Hymenoptera Dataset (DAPWH)

Joao Manoel Herrera Pinheiro, Gabriela Do Nascimento Herrera, Luciana Bueno Dos Reis Fernandes +7

Accurate taxonomic identification is the cornerstone of biodiversity monitoring and agricultural management, particularly for the hyper-diverse superfamily Ichneumonoidea. Comprisi…

cs.CV2026

A Leaf-Level Dataset for Soybean-Cotton Detection and Segmentation

Thiago H. Segreto, Juliano Negri, Paulo H. Polegato +3

Soybean and cotton are major drivers of many countries' agricultural sectors, offering substantial economic returns but also facing persistent challenges from volunteer plants and…