Open world object detection: a survey

• Main Authors: Li, Yiming, Wang, Yi, Wang, Wenqian, Lin, Dan, Li, Bingbing, Yap, Kim-Hui
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2025
• Subjects: Engineering; Incremental learning; Object detection
• Online Access: https://hdl.handle.net/10356/182294
• Institution: Nanyang Technological University

Exploring new knowledge is a fundamental human ability that can be mirrored in the development of deep neural networks, especially in the field of object detection. Open world object detection (OWOD) is an emerging area of research that adapts this principle to explore new knowledge. It focuses on r...