Self-supervised fine-tuning of SuperPoint using visual odometry reprojection errors as labels produces more uniform features and improves trajectory estimates on the Pohang dataset, according to qualitative results only.
SuperPoint: Self- supervised interest point detection and description,
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Good Deep Features to Track: Self-Supervised Feature Extraction and Tracking in Visual Odometry
Self-supervised fine-tuning of SuperPoint using visual odometry reprojection errors as labels produces more uniform features and improves trajectory estimates on the Pohang dataset, according to qualitative results only.