REVEAL ensembles four VLMs and label-noise detectors to detect and correct noisy and missing labels in six image classification test sets, reporting high agreement with human annotations.
Robust bi-tempered logistic loss based on Bregman divergences.Advances in Neural Information Processing Systems, 32, 2019
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
When VLMs Meet Image Classification: Test Sets Renovation via Missing Label Identification
REVEAL ensembles four VLMs and label-noise detectors to detect and correct noisy and missing labels in six image classification test sets, reporting high agreement with human annotations.