Mild-NMS: A Suppression Algorithm for Enhanced Object Detection and Classification for High Intra-Class Overlap Ranges

Kian Angelo Oladive, Raphael Alampay, Patricia Angela Abu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2024 6th International Conference on Control and Robotics, ICCR 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages371-375
Number of pages5
ISBN (Electronic)9798331518158
DOIs
StatePublished - 2024
Event6th International Conference on Control and Robotics, ICCR 2024 - Yokohama, Japan
Duration: Dec 5 2024Dec 7 2024

Publication series

Name2024 6th International Conference on Control and Robotics, ICCR 2024

Conference

Conference6th International Conference on Control and Robotics, ICCR 2024
Country/TerritoryJapan
CityYokohama
Period12/5/2412/7/24

ASJC Scopus Subject Areas

  • Control and Optimization
  • Modeling and Simulation
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Mechanical Engineering

Keywords

  • computer vision
  • non-maximum suppression
  • object detection

Fingerprint

Dive into the research topics of 'Mild-NMS: A Suppression Algorithm for Enhanced Object Detection and Classification for High Intra-Class Overlap Ranges'. Together they form a unique fingerprint.

Cite this