Better low-resolution image classification using attributes
Better low-resolution image classification using attributes
Enhancing Fine-Grained Classification for Low Resolution Images
DeepAI Web site https://deepai.org/publication/enhancing-fine-grained-classification-for-low-resolution-images
arXiv paper abstract https://arxiv.org/abs/2105.00241v1
arXiv PDF paper https://arxiv.org/pdf/2105.00241v1.pdf
... proposes a novel attribute-assisted loss, which utilizes ancillary information to learn discriminative features for classification. The proposed loss function enables a model to learn class-specific discriminative features, while incorporating attribute-level separability. Evaluation is performed on multiple datasets with different models, for four resolutions varying from 32x32 to 224x224. Different experiments demonstrate the efficacy of the proposed attribute-assisted loss for low resolution fine-grained classification.
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