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A Dimensional Structure based Knowledge Distillation Method for Cross-Modal Learning

delete2026-02-03
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PRE
AI
L
Lingyu Si
H
Hongwei Dong
F
Fan Yang
S
ShouYou HUANG
J
Junzhi Yu
F
Fuchun Sun
DOI:10.1016/j.neunet.2026.108672delete
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Abstract

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.

Journal

Neural Networks cover
Neural Networks
IF:
6.3
Papers:
7.8K
Citations:
3.0W

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iflytek digital co., ltd
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Tsinghua University
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Peking University
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Chinese Academy of Sciences
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