AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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.
UD-YOLO is proposed, a lightweight underwater object detector designed to improve cross-scale feature interaction and localization stability under degraded underwater conditions and shows consistent gains over YOLOv11n under different underwater benchmark settings.
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 that reduces model size, parameter count, and computational demand while reducing the number of model parameters.
A dynamic image feature fusion backbone module, termed DyC2F (dynamic lightweight convolution to fusion), is developed, which enhances the modeling of local textures and weak boundary features while maintaining low computational complexity.
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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