Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes

AAAI, pp. 12047-12054, 2020.

Cited by: 3|Bibtex|Views5|Links
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Abstract:

The main requisite for fine-grained recognition task is to focus on subtle discriminative details that make the subordinate classes different from each other. We note that existing methods implicitly address this requirement and leave it to a data-driven pipeline to figure out what makes a subordinate class different from the others. Th...More

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