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 attributeassisted loss for low resolution fine-grained classification.

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I apply innovative technologies like machine learning, computer vision, and physics to further an organization's goals. Am recognized innovator with 66 patents.