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Feb 24, 2017 · Fine-grained categorization refers to the task of categorizing objects with similar pattern or visual appearances.
Fine-grained categorization refers to the task of categorizing objects with similar pattern or visual appearances. This study proposes a framework for ...
Fine-Grained Categorization Based on Feature Selection. Chia-Hung Wei. Department of Information Management. Chien Hsin University of Science and Technology.
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Feb 24, 2017 · Fine-grained categorization refers to the task of categorizing objects with similar pattern or visual appearances.
Jul 6, 2021 · Abstract: The core for tackling the fine-grained visual categorization (FGVC) is to learn subtle yet discriminative features.
Fine-grained classification represents localizing and aggregating distinct points between similar regions based on correlation among these known regions.
Missing: Categorization | Show results with:Categorization
Fine-grained categorization can benefit from part-based features which reveal subtle visual differences between object categories. Handcrafted features have ...
Missing: Selection. | Show results with:Selection.
Fine-grained image classification methods are broadly categorized into two types: those relying on deep learning and traditional methods based on feature ...
We study fine-grained categorization, the task of distin- guishing among (sub)categories of the same generic ob- ject class (e.g., birds), ...
Fine-grained few-shot classification algorithms mainly fall into two categories: meta-learning-based methods and metric-learning-based methods [17]. Meta- ...