Cited by 1,986Multimodal Machine Learning ApplicationsImage Retrieval and Classification TechniquesAdvanced Neural Network Applications

SPICE: Semantic Propositional Image Caption Evaluation

Anderson, Peter, Fernando, Basura, Johnson, Mark, Gould, Stephen·2016·Lecture Notes in Computer Science

Integrity signals

Registry

Crossref · 10.1007/978-3-319-46454-1_24

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

The citation lists haven’t been fetched yet

References 45 · Cited by 1,986

Authors
Anderson, P., Fernando, B., Johnson, M., & Gould, S.
Affiliations
  • Australian National University (AU)
  • Macquarie University (AU)
Corresponding author
Anderson, Peter
Venue
Lecture Notes in Computer Science
Published
2016
Pages
382-398
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2506483933
Cited by
1,986
References
45
Citations by year
2026: 127 · 2025: 268 · 2024: 274 · 2023: 292 · 2022: 252 · 2021: 289 · 2020: 194 · 2019: 172 · 2018: 78 · 2017: 34 · 2016: 6
FWCI
33.53
Type
conference paper
Language
en
Open access
closed
Locations
  • Lecture notes in computer science (publishedVersion)
  • ANU Open Research (Australian National University) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
Keywords
image captioning, scene graph, human judgment correlation, n-gram overlap, cider, meteors, MS COCO

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review