Object Detectors in the Open Environment:Challenges, Solutions, and Outlook

arXiv:2403.16271v1 Announce Type: new
Abstract: With the emergence of foundation models, deep learning-based object detectors have shown practical usability in closed set scenarios. However, for real-world tasks, object detectors often operate in open environments, where crucial factors (\eg, data distribution, objective) that influence model learning are often changing. The dynamic and intricate nature of the open environment poses novel and formidable challenges to object detectors. Unfortunately, current research on object detectors in open environments lacks a comprehensive analysis of their …

abstract arxiv challenges cs.cv data deep learning distribution dynamic emergence environment environments foundation however influence object outlook practical set solutions tasks type usability world