ECCV 2020 Workshop – Beyond mAP: Reassessing the Evaluation of Object Detectors – Call for Papers

Call for Papers: ECCV 2020 Workshop – Beyond mAP: Reassessing the Evaluation of Object Detectors

 

Workshop link

https://nikosuenderhauf.github.io/roboticvisionchallenges/eccv2020

 

Workshop summary

This workshop assesses current evaluation procedures for object detection, highlights their shortcomings and opens discussion for possible improvements.

Through a focus on evaluation using challenges, the object detection community has been able to quickly identify which methods are effective by examining performance metrics. However, as this technological boom progresses, it is important to assess whether our evaluation metrics and procedures adequately align with how object detection will be used in practical applications. Quantitative results should be easily reconciled with a detector’s performance in applied tasks. This workshop provides a forum to discuss these ideas and evaluate whether current standards meet the needs of the object detection community.

 

The workshop also hosts the 3rd iteration of our probabilistic object detection (PrOD) competition. Details to be found at the workshop website and the competition page below

 

(https://competitions.codalab.org/competitions/20597)

 

 

Call for Papers

We invite authors to contribute papers to the workshop. Topics of interest comprise, but are not limited to:

  • New evaluation measures/metrics for object detection
  • New evaluation/visualization tools to analyze object detection systems
  • New evaluation procedures for better understanding object detection performance
  • Examinations of current evaluation procedures
  • New datasets designed to examine specific challenges in object detection
  • New detection methods that provide contributions/insights unrewarded by current evaluation procedures (e.g. improved detector calibration, probabilistic object detection, etc.)

Author Instructions

  • Submissions must follow the ECCV format and be up to 4 pages in length including references
  • It is accepted if this is an abbreviated version of a larger paper published elsewhere if properly referenced
  • Submit your paper through CMT (link)
  • Accepted papers will provide a short video outlining their work which will be part of the ECCV online workshop system (details to come)

If you have any questions don't hesitate to contact.

 

Best regards,

Dr David Hall

Research Fellow

Robotic Vision Benchmarking and Evaluation Project

Australian Centre for Robotic Vision

Queensland University of Technology

e-mail: d20.hall@qut.edu.au

Phone: +61 7 31380656

ORCiD: 0000-0002-5520-0128

Website: https://sites.google.com/view/davidhallcv/home

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