AI RESEARCH
Shallow Deep Learning Can Still Excel in Fine-Grained Few-Shot Learning
arXiv CS.CV
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ArXi:2507.22041v2 Announce Type: replace Deep learning has witnessed the extensive utilization across a wide spectrum of domains, including fine-grained few-shot learning (FGFSL) which heavily depends on deep backbones. Nonetheless, shallower deep backbones such as ConvNet-4, are not commonly preferred because they're prone to extract a larger quantity of non-abstract visual attributes.