USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Model

doi:doi:10.57702/wqj3v8xn

USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Model

Open World Object Detection (OWOD) is a novel and challenging computer vision task that enables object detection with the ability to detect unknown objects.

Data and Resources

Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
Explore
- Preview
- Download

Cite this as

Yulin He, Wei Chen, Yusong Tan, Siqi Wang (2024). Dataset: USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Model. https://doi.org/10.57702/wqj3v8xn

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2306.02275
Author	Yulin He
More Authors	Wei Chen Yusong Tan Siqi Wang