Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

This page summarizes the projects mentioned and recommended in the original post on /r/deeplearning

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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  • MobileSAM

    This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

    • Highlight: The training of MobileSAM can be completed on a single GPU within less than one day. MobileSAM is 60+ times smaller yet performs on par with the original SAM. For inference speed, Compared with the concurrent FastSAM, our MobileSAM with a superior performance is 7 times smaller and 4 times faster, making it more suitable for mobile applications. The code for MobileSAM project is provided at https://github.com/ChaoningZhang/MobileSAM.

  • 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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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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