Exploiting enhanced and robust RGB-D face representation via progressive multi-modal learning

Pattern Recognition Letters(2023)

引用 1|浏览22
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摘要
•Face-specific depth enhancement to refine the low-quality depth.•Iterative inter-modal feature interaction to fully exploit complementary information.•Feature re-calibration and weighted complementary feature aggregation to strengthen intra-modal representation.•Masked RGB-depth modeling mechanism to improve robustness towards missing-modality data.
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关键词
RGB-D face recognition,Multi-modal fusion,Depth enhancement,Multi-head-attention mechanism,Incomplete modal data
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