Lichen Wei

Decompose and Attribute: Boosting Generalizable Open-Set Object Detection via Objectness Score

Open-set object detection (OSOD) aims to recognize known object categories while localizing previously unseen instances. However, real-world scenarios often involve co-occurring domain shifts and novel object categories. Existing OSOD methods typically overlook domain shifts, relying on source-train