Nature

Underwater Object Detection Algorithms Using Deep Learning Techniques articles from across Nature Portfolio

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 ...
Nature

Deep Learning Approaches in Object Detection

Deep learning has revolutionised object detection by enabling end-to-end trainable systems that learn both feature representation and localisation. Early two-stage detectors extracted region proposals ...
BIOENGINEER

Deep learning tool reads 13 fungal morphotypes from plain microscope images

A YOLOv11m-based detector called TU_MyCo-Vision identifies 13 fungal morphotypes in brightfield microscopy images and pairs ...
BIOENGINEER

Ensemble AI Model Sharpens Night Vision Object Detection for Autonomous Vehicles

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 presents smart surveillance research at CONIT 2026

Umashanker Bandari’s co-authored IEEE Xplore paper explores a context-aware deep learning framework for accurate, efficient, ...