Dashboard

Featured nodes

Roots

  • Public root

Templates

  • Test template
  • iCorps template
  • Guanyu's Latex template
  • Ivar's latex template
  • Family Tree template
  • Latex template
  • Router template

Trees

  • Public trees

Orphans

  • Browse orphan nodes
Related nodes

Parents2

  • Convolutional Networks
  • Low-Power Computer Vision

Siblings2
  • Sort by title
  • Sort by date

  • YOLO for CV
  • MobileNets
Knowenβ
  • Help
    • Welcome to Knowen!
    • Edit test node (no login required)
    • Create new test node (no login required)
  • Not logged in
    • Sign in
    • Sign up
Privacy
  • Edit node

YOLO for CV

Created about 5 years ago, updated 28 days ago

https://en.wikipedia.org/wiki/Object_detection

You Only Look Once: Unified, Real-Time Object Detection

Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi

http://christopher5106.github.io/object/detectors/2017/08/10/bounding-box-object-detectors-understanding-yolo.html

The most detailed yolov1-yolov3 principle of the whole network

  • 2018 What’s new in YOLO v3?

https://towardsdatascience.com/dive-really-deep-into-yolo-v3-a-beginners-guide-9e3d2666280e

https://en.wikipedia.org/wiki/Object_detection

https://github.com/ultralytics/yolov3
https://github.com/eriklindernoren/PyTorch-YOLOv3

https://en.wikipedia.org/wiki/Evaluation_measures_(information_retrieval)#Mean_average_precision

ResNet-50 - a misleading machine learning inference benchmark for megapixel images

July 01, 2019 // By Geoff Tate, CEO of Flex Logix Technologies Inc

Parents

  • Convolutional Networks
  • Low-Power Computer Vision

Contact us or leave feedback

© KTree Inc. 2026