TL;DR
TRIDEN-YOLO, a lightweight detector built upon YOLOv11n, provides the primary reparameterized contextual representation design through multi-branch training and inference-time fusion, while HFFE and GCD loss are incorporated to enhance hierarchical feature fusion and boundary-aware localization.
Underwater biological object detection is important for intelligent marine monitoring, yet its performance is often limited by severe image degradation, background clutter, and large variations in target scale. These factors can weaken feature representation during multi-scale fusion and reduce localization reliabili...
Underwater object detection faces severe challenges caused by light attenuation, scattering, spatially varying turbidity, and boundary blur, which weaken object-related visual signals and reduce localization reliability. This letter presents MED, a Mamba-Enhanced Detector for degradation-aware underwater object detecti...
Underwater object detection plays a crucial role in fisheries resource assessment and ecological environment protection. Current underwater object detection models are characterized by large parameter sizes and high computational costs, which hinder the simultaneous achievement of lightweight deployment and high detect...
This study presents TRACON + Inner-WIoU + BiFPN + EMPC-DetectoR (TIBER-YOLO), an improved lightweight detector for underwater object detection. Built on You Only Look Once version 8 small (YOLOv8s), the model introduces four modifications to address image degradation, small-object detection, and computational cost. Fir...
Underwater object detection is of significant practical importance for marine resource exploration, underwater robotic navigation, and marine ecological monitoring. However, underwater images are often severely degraded by light attenuation and scattering, suspended particulates, and complex background interference. Th...
Underwater object detection techniques for marine resource exploration, underwater engineering inspection, and AUV intelligent operations face three major demands: high precision, low latency, and embeddable deployment. In natural underwater environments, complex interferences such as water scattering, wavelength-selec...
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