CapsNet meets SIFT: A robust framework for distorted target categorization

Research article (Neurocomputing, 2021) · cited 12× · AI/ML
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CapsNet meets SIFT: A robust framework for distorted target categorization

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CapsNet meets SIFT: A robust framework for distorted target categorization is a scholarly article[1].

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  • CapsNet meets SIFT: A robust framework for distorted target categorization's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). CapsNet meets SIFT: A robust framework for distorted target categorization. Retrieved May 24, 2026, from https://4ort.xyz/entity/capsnet-meets-sift-a-robust-framework-for-distorted-target-categorization
MLA “CapsNet meets SIFT: A robust framework for distorted target categorization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/capsnet-meets-sift-a-robust-framework-for-distorted-target-categorization.
BibTeX @misc{4ortxyz_capsnet-meets-sift-a-robust-framework-for-distorted-target-categorization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CapsNet meets SIFT: A robust framework for distorted target categorization}}, year = {2026}, url = {https://4ort.xyz/entity/capsnet-meets-sift-a-robust-framework-for-distorted-target-categorization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CapsNet meets SIFT: A robust framework for distorted target categorization — https://4ort.xyz/entity/capsnet-meets-sift-a-robust-framework-for-distorted-target-categorization (retrieved 2026-05-24)

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