ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification

Research article (2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023) · cited 11× · AI/ML
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ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification

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ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/scorenet-learning-non-uniform-attention-and-augmentation-for-transformer-based-histopathological-image-classification
MLA “ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scorenet-learning-non-uniform-attention-and-augmentation-for-transformer-based-histopathological-image-classification.
BibTeX @misc{4ortxyz_scorenet-learning-non-uniform-attention-and-augmentation-for-transformer-based-histopathological-image-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification}}, year = {2026}, url = {https://4ort.xyz/entity/scorenet-learning-non-uniform-attention-and-augmentation-for-transformer-based-histopathological-image-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification — https://4ort.xyz/entity/scorenet-learning-non-uniform-attention-and-augmentation-for-transformer-based-histopathological-image-classification (retrieved 2026-05-24)

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