Underwater object detection is challenged by light attenuation, scattering, and severe appearance degradation, which introduce instability across different stages of the detection pipeline. To address ...
A systematic review of 60 strawberry detection studies finds that 35 percent applied data augmentation before dataset ...
A new ensemble deep learning framework called EnPreNiNet, paired with a night image enhancement technique, achieved a reported mean Average Precision of 76.3 percent for multi-object detection in ...
Umashanker Bandari’s co-authored IEEE Xplore paper explores a context-aware deep learning framework for accurate, efficient, ...
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