MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos

Yihong Sun; Bharath Hariharan

doi:10.1007/978-3-031-73414-4_17

ScienceGate Book Chapters

BOOK-CHAPTER

MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos

Yihong Sun Bharath Hariharan

Year: 2024 Lecture notes in computer science Pages: 289-307 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-73414-4_17

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Detector Artificial intelligence Object (grammar) Computer vision Learning object Mobile device Computer graphics (images) World Wide Web Telecommunications

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.42

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos

Metrics

Topics

Related Documents

Object-Centric Representation Learning from Unlabeled Videos

Learning Video Object Segmentation From Unlabeled Videos

Learning Video Salient Object Detection Progressively From Unlabeled Videos

Physics 101: Learning Physical Object Properties from Unlabeled Videos

Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos