
Region-based representations can be effectively combined with strong self-supervised features to enable competitive performance on a variety of visual recognition tasks, including semantic segmentation, object-based image retrieval, and multi-image analysis.


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revisiting-the-effectiveness-of-region-based-representations-for-visual-recognition


Revisiting the Effectiveness of Region-Based Representations for Visual Recognition


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지역 기반 표현은 다양한 응용 분야에서 효과적일 수 있으며, 최근 발전된 자동 분할 및 무감독 특징 학습 기술을 활용하여 재검토할 필요가 있다.


Revisiting the Effectiveness of Region-Based Representations for Visual Recognition

지역 기반 표현 재검토