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A Dimensional Structure based Knowledge Distillation Method for Cross-Modal Learning
DOI:10.1016/j.neunet.2026.108672.png)
Abstract
En 中文
• Discovered the correlation between feature discriminability and dimensional structure (DS), revealing superior DS in high-quality modality features. • Proposed a DS-based knowledge distillation method, enhancing low-quality modality performance by optimizing feature distribution and independence. • Introduced IIS-ISCAS, a new cross-modal learning (CML) dataset for marine target recognition, with experiments validating the method across several datasets.
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