Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification
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DOI: 10.1109/access.2020.3030249
Abstract: The fine-grained visual classification (FGVC) which aims to distinguish subtle differences among subcategories is an important computer vision task. However, one issue that limits model performance is the problem of diversity within subcategories. To this… read more here.
Keywords: category similarity; based distributed; grained visual; fine grained ... See more keywords