most citedA fine-grained attention and geometric correspondence model for musculoskeletal risk classification in athletes using multimodal visual and skeletal features

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cs.CV2026

BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data

Arefin Ittesafun Abian, Debopom Sutradhar, Md Rafi Ur Rashid +5

Insect classification is important for agricultural management and ecological research, as it directly affects crop health and production. However, this task remains challenging du…

cs.CV2026★ 1 cited

A fine-grained attention and geometric correspondence model for musculoskeletal risk classification in athletes using multimodal visual and skeletal features

Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Tamanna Shermin +3

Musculoskeletal disorders pose significant risks to athletes, and early risk assessment is essential for prevention. However, most existing methods are designed for controlled sett…