Abstract: Maritime environments often face visibility challenges due to haze which significantly impacts detection models. However, existing maritime object detection algorithms often neglect haze ...
Abstract: Traditional real-time object detection networks deployed in autonomous aerial vehicles (AAVs) struggle to extract features from small objects in complex backgrounds with occlusions and ...
Nestled in the Great Basin, a remote stretch of the Nevada desert is set to become home to the world’s most sensitive radio telescope array. Limited time: Save 25% on NBC News subscription Get ...
This repository is official PyTorch implementation of the paper "GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot OOD Detection" accepted in International Joint Conference on Neural Networks ...
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