How to train a CNN for a map localization task?

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

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.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
  • SuperGluePretrainedNetwork

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

  • Feature matching is the way to go imo. Try out OpenCV's inbuilt feature matching methods like SIFT and FLANN. If the performance is poor, you can even try out CNN aided matching algos like SuperGlue Link (CVPR2020)

  • 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.

    InfluxDB logo
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.

Suggest a related project

Related posts

  • SuperGlue is a CVPR2022 research project done at Magicleap for pose estimation in real-world environments. Check out the tool link in the comments

    1 project | /r/machinelearningnews | 6 Nov 2022
  • [D] Solo machine learning engineer woes

    1 project | /r/MachineLearning | 13 Jan 2022
  • What is the SOTA for feature extraction / description / matching ?

    1 project | /r/computervision | 13 Feb 2021
  • Please help I'm suffering | RuntimeError: mat1 and mat2 must have the same dtype

    1 project | /r/StableDiffusion | 5 Dec 2023
  • On replacing Colmap

    1 project | /r/GaussianSplatting | 9 Oct 2023