Two radar odometry baselines improve trajectory estimates on challenging off-road routes in the GO dataset.
ORB: An efficient alternative to SIFT or SURF
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A hybrid deep learning plus classical ML pipeline for waste image classification reaches up to 100% accuracy on TrashNet and a corrected household dataset while cutting feature dimensionality by over 95%.
citing papers explorer
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Pushing Radar Odometry Beyond the Pavement: Current Capabilities and Challenges
Two radar odometry baselines improve trajectory estimates on challenging off-road routes in the GO dataset.
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Towards Accurate and Efficient Waste Image Classification: A Hybrid Deep Learning and Machine Learning Approach
A hybrid deep learning plus classical ML pipeline for waste image classification reaches up to 100% accuracy on TrashNet and a corrected household dataset while cutting feature dimensionality by over 95%.