@article{ART003283772},
author={Muhammad Iqubal Ali and In-Chul Han and KIM, SOO KYUN},
title={Open-World Object Detection and Segmentation: Current Challenges and Emerging Opportunities},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2025},
volume={11},
number={6},
pages={27}
TY - JOUR
AU - Muhammad Iqubal Ali
AU - In-Chul Han
AU - KIM, SOO KYUN
TI - Open-World Object Detection and Segmentation: Current Challenges and Emerging Opportunities
JO - Journal of Internet of Things and Convergence
PY - 2025
VL - 11
IS - 6
PB - The Korea Internet of Things Society
SP - 27
EP -
SN - 2466-0078
AB - Real-world vision systems often encounter categories unseen during training, challenging the closed-set limitation of traditional detectors. This review summarizes advances in Open-World Object Detection (OWOD) and its extension to open-world segmentation, where models must recognize known classes, reject novel instances, and incrementally learn new categories. We categorize OWOD approaches into pseudo-labeling, class-agnostic proposal learning, metric-based novelty scoring, and hybrid methods leveraging vision–language or video cues, connecting them to open-world semantic and instance segmentation. Key challenges include proposal bias, open-set misclassification, continual learning degradation, and inconsistent evaluation. Finally, we highlight future directions such as integration with 3D perception, self/semi-supervised learning, and calibrated uncertainty, outlining a roadmap toward reliable open-world perception.
KW - Open-world Object Detection (OWOD);Open-World Segmentation;Open-Set Recognition;;Unknown Detection;Incremental/Continual Learning
DO -
UR -
ER -
Muhammad Iqubal Ali, In-Chul Han and KIM, SOO KYUN. (2025). Open-World Object Detection and Segmentation: Current Challenges and Emerging Opportunities. Journal of Internet of Things and Convergence, 11(6), 27.
Muhammad Iqubal Ali, In-Chul Han and KIM, SOO KYUN. 2025, "Open-World Object Detection and Segmentation: Current Challenges and Emerging Opportunities", Journal of Internet of Things and Convergence, vol.11, no.6 27.
Muhammad Iqubal Ali, In-Chul Han, KIM, SOO KYUN "Open-World Object Detection and Segmentation: Current Challenges and Emerging Opportunities" Journal of Internet of Things and Convergence 11.6 27 (2025) : 27.
Muhammad Iqubal Ali, In-Chul Han, KIM, SOO KYUN. Open-World Object Detection and Segmentation: Current Challenges and Emerging Opportunities. 2025; 11(6), 27.
Muhammad Iqubal Ali, In-Chul Han and KIM, SOO KYUN. "Open-World Object Detection and Segmentation: Current Challenges and Emerging Opportunities" Journal of Internet of Things and Convergence 11, no.6 (2025) : 27.
Muhammad Iqubal Ali; In-Chul Han; KIM, SOO KYUN. Open-World Object Detection and Segmentation: Current Challenges and Emerging Opportunities. Journal of Internet of Things and Convergence, 11(6), 27.
Muhammad Iqubal Ali; In-Chul Han; KIM, SOO KYUN. Open-World Object Detection and Segmentation: Current Challenges and Emerging Opportunities. Journal of Internet of Things and Convergence. 2025; 11(6) 27.
Muhammad Iqubal Ali, In-Chul Han, KIM, SOO KYUN. Open-World Object Detection and Segmentation: Current Challenges and Emerging Opportunities. 2025; 11(6), 27.
Muhammad Iqubal Ali, In-Chul Han and KIM, SOO KYUN. "Open-World Object Detection and Segmentation: Current Challenges and Emerging Opportunities" Journal of Internet of Things and Convergence 11, no.6 (2025) : 27.
