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Towards Non Co-occurrence Incremental Object Detection with Unlabeled In-the-Wild Data

Published Online: 2024-06-01

Published Print: 2024-11

Authors

Dong, Na https://orcid.org/0000-0002-0247-3544
Zhang, Yongqiang

Ding, Mingli

Lee, Gim Hee
Funding

Funding for this research was provided by:

National Research Foundation Singapore (AISG2-RP-2020-016)

Ministry of Education - Singapore (the Tier 2 grant MOET2EP20120-0011)
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Text and Data Mining valid from 2024-06-01

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Article History

Received: 16 December 2022

Accepted: 4 March 2024

First Online: 1 June 2024

Declarations

:

: The first author is funded by a scholarship from the China Scholarship Council (CSC). This research is supported in part by the National Research Foundation, Singapore under its AI Singapore Program (AISG Award No: AISG2-RP-2020-016), the Tier 2 grant MOET2EP20120-0011 from the Singapore Ministry of Education, and the Natural Science Foundation of China, Grant No. 61603372.

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