From Global to Granular: Revealing IQA Model Performance via Correlation Surface.

Chen B, Huang D, Zhu H, Zhu L, Zhou W, Wang S, Fang Y, Lin W

DOI: 10.1109/tpami.2026.3705184
Published: 2026 Oct
Container: IEEE transactions on pattern analysis and machine intelligence
Publisher: Not recorded
Open access: no

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. 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
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1109/tpami.2026.3705184,
  title = {From Global to Granular: Revealing IQA Model Performance via Correlation Surface.},
  author = {Chen B and Huang D and Zhu H and Zhu L and Zhou W and Wang S and Fang Y and Lin W},
  year = {2026},
  journal = {IEEE transactions on pattern analysis and machine intelligence},
  doi = {10.1109/tpami.2026.3705184},
  url = {https://doi.org/10.1109/tpami.2026.3705184}
}

RIS

TY  - JOUR
TI  - From Global to Granular: Revealing IQA Model Performance via Correlation Surface.
AU  - Chen B
AU  - Huang D
AU  - Zhu H
AU  - Zhu L
AU  - Zhou W
AU  - Wang S
AU  - Fang Y
AU  - Lin W
PY  - 2026
JO  - IEEE transactions on pattern analysis and machine intelligence
DO  - 10.1109/tpami.2026.3705184
UR  - https://doi.org/10.1109/tpami.2026.3705184
ER  -

APA

B, C., D, H., H, Z., L, Z., W, Z., S, W., Y, F., & W, L. (2026). From Global to Granular: Revealing IQA Model Performance via Correlation Surface.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3705184

Source records

pubmed · retrieved 2026-09-25T13:10:17.311Z
europe-pmc · retrieved 2026-09-25T13:10:17.324Z