DCR combines reverse distillation for benign conflict calibration with a contextual bandit for severe conflict arbitration, yielding competitive or superior results on five MER benchmarks.
Decoupled multimodal distilling for emotion recognition,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
RIHA proposes a hierarchical alignment transformer that uses multi-scale visual and textual feature pyramids plus optimal transport to generate more accurate radiology reports from medical images.
citing papers explorer
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To Fuse or to Drop? Dual-Path Learning for Resolving Modality Conflicts in Multimodal Emotion Recognition
DCR combines reverse distillation for benign conflict calibration with a contextual bandit for severe conflict arbitration, yielding competitive or superior results on five MER benchmarks.
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RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation
RIHA proposes a hierarchical alignment transformer that uses multi-scale visual and textual feature pyramids plus optimal transport to generate more accurate radiology reports from medical images.