UFO$$^2$$: A Unified Framework Towards Omni-supervised Object Detection

Zhongzheng Ren; Zhiding Yu; Xiaodong Yang; Mingyu Liu; Alexander G. Schwing; Jan Kautz

doi:10.1007/978-3-030-58529-7_18

ScienceGate Book Chapters

BOOK-CHAPTER

UFO$$^2$$: A Unified Framework Towards Omni-supervised Object Detection

Zhongzheng Ren Zhiding Yu Xiaodong Yang Mingyu Liu Alexander G. Schwing Jan Kautz

Year: 2020 Lecture notes in computer science Pages: 288-313 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-58529-7_18

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Annotation Bounding overwatch Minimum bounding box Object (grammar) Generalization Object detection Artificial intelligence Class (philosophy) Machine learning Image (mathematics) Information retrieval Pattern recognition (psychology)

Metrics

Cited By

4.25

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

UFO$$^2$$: A Unified Framework Towards Omni-supervised Object Detection

Metrics

Citation History

Topics

Related Documents

Omni-DETR: Omni-Supervised Object Detection with Transformers

A mix-supervised unified framework for salient object detection

SAM-COD+: SAM-Guided Unified Framework for Weakly-Supervised Camouflaged Object Detection

SAM-COD: SAM-Guided Unified Framework for Weakly-Supervised Camouflaged Object Detection

SOOD: Towards Semi-Supervised Oriented Object Detection