A multi-modal extension of multi-expert architectures uses confidence-guided fusion from modality-specific networks to handle long-tailed class imbalance across heterogeneous inputs.
Title resolution pending
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
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Simultaneous Long-tailed Recognition and Multi-modal Fusion for Highly Imbalanced Multi-modal Data
A multi-modal extension of multi-expert architectures uses confidence-guided fusion from modality-specific networks to handle long-tailed class imbalance across heterogeneous inputs.