What is the SOTA for feature extraction / description / matching ?

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Deep Learning feature-matching pose-estimation graph-neural-networks

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  • SuperGluePretrainedNetwork

    SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

    • SIFT and brute force matching is your best bet in classical computer vision if you're unconcerned with runtime. There are methods from deep learning that can perform better, somewhat domain dependent. Check out superpoint and superglue from magic leap. https://github.com/magicleap/SuperGluePretrainedNetwork

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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