RAUM-Net combines Mamba features, region attention, and MC-dropout uncertainty filtering to improve semi-supervised fine-grained classification under occlusion and label scarcity.
Fet-fgvc: Feature-enhanced transformer for fine-grained visual classification
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RAUM-Net: Regional Attention and Uncertainty-aware Mamba Network
RAUM-Net combines Mamba features, region attention, and MC-dropout uncertainty filtering to improve semi-supervised fine-grained classification under occlusion and label scarcity.