Fine-grained categorization via CNN-based automatic extraction and integration of object-level and part-level features
نویسندگان
چکیده
منابع مشابه
Fine-grained categorization via CNN-based automatic extraction and integration of object-level and part-level features
Fine-grained categorization can benefit from part-based features which reveal subtle visual differences between object categories. Handcrafted features have been widely used for part detection and classification. Although a recent trend seeks to learn such features automatically using powerful deep learning models such as convolutional neural networks (CNN), their training and possibly also tes...
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ژورنال
عنوان ژورنال: Image and Vision Computing
سال: 2017
ISSN: 0262-8856
DOI: 10.1016/j.imavis.2017.06.003