[Paper Review] BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification

논문 링크 : https://arxiv.org/abs/2011.14311 BSNet: Bi-Similarity Network for Few-shot Fine-grained Image ClassificationFew-shot learning for fine-grained image classification has gained recent attention in computer vision. Among the approaches for few-shot learning, due to the simplicity and effectiveness, metric-based methods are favorably state-of-the-art on many tasks.arxiv.org Abstractfew-shot ..

• format_list_bulleted Deep Learning & AI/CV
• · 2024. 7. 29.
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[Paper Review] MetaFormer : A Unified Meta Framework for Fine-Grained Recognition

논문 링크 :https://arxiv.org/abs/2203.02751 MetaFormer: A Unified Meta Framework for Fine-Grained RecognitionFine-Grained Visual Classification(FGVC) is the task that requires recognizing the objects belonging to multiple subordinate categories of a super-category. Recent state-of-the-art methods usually design sophisticated learning pipelines to tackle this taskarxiv.org 다음 포스팅과 영상을 보고 학습한 내용을 정리한 ..

• format_list_bulleted Deep Learning & AI/CV
• · 2024. 7. 8.
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