A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization

2021 Digital Image Computing: Techniques and Applications (DICTA)(2021)

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摘要
Fine-grained visual categorization (FGVC), which aims at classifying objects with small inter-class variances, has been significantly advanced in recent years. However, ultra-fine-grained visual categorization (ultra-FGVC), which targets at identifying subclasses with extremely similar patterns, has not received much attention. In ultra-FGVC datasets, the samples per category are always scarce as ...
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关键词
Measurement,Training,Visualization,Digital images,Computational modeling,Training data,Benchmark testing
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