Xiang Xiang

A Simple Unknown-Instance-Aware Framework for Open-Set Object Detection

2023

Open-set object detection aims to detect training set objects (known classes) and non-training set objects (unknown classes). The current frameworks rely on human-in-the-loop, i.e., humans provide training data of unknown classes, to be aware of …

OpenHAIV: A Framework Towards Practical Open-World Learning

2025 · arXiv (Cornell University)

Substantial progress has been made in various techniques for open-world recognition. Out-of-distribution (OOD) detection methods can effectively distinguish between known and unknown classes in the data, while incremental learning enables continuous model knowledge updates. However, …