Exploring Effective Knowledge Transfer for Few-shot Object Detection

Zhiyuan Zhao, Qingjie Liu, Yunhong Wang

Open source

DOI: 10.1145/3503161.3548062
Published: 2022-10-10
Container: Proceedings of the 30th ACM International Conference on Multimedia
Publisher: ACM
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1145/3503161.3548062,
  title = {Exploring Effective Knowledge Transfer for Few-shot Object Detection},
  author = {Zhiyuan Zhao and Qingjie Liu and Yunhong Wang},
  year = {2022},
  journal = {Proceedings of the 30th ACM International Conference on Multimedia},
  doi = {10.1145/3503161.3548062},
  url = {https://doi.org/10.1145/3503161.3548062}
}

RIS

TY  - JOUR
TI  - Exploring Effective Knowledge Transfer for Few-shot Object Detection
AU  - Zhiyuan Zhao
AU  - Qingjie Liu
AU  - Yunhong Wang
PY  - 2022
JO  - Proceedings of the 30th ACM International Conference on Multimedia
DO  - 10.1145/3503161.3548062
UR  - https://doi.org/10.1145/3503161.3548062
ER  -

APA

Zhao, Z., Liu, Q., & Wang, Y. (2022). Exploring Effective Knowledge Transfer for Few-shot Object Detection. Proceedings of the 30th ACM International Conference on Multimedia. https://doi.org/10.1145/3503161.3548062

Source records

crossref · retrieved 2026-09-25T09:11:06.291Z