Home ›
Entities
› academia
› An automated and efficient convolutional architecture for disguise-invariant face recognition using noise-based data augmentation and deep transfer learning
An automated and efficient convolutional architecture for disguise-invariant face recognition using noise-based data augmentation and deep transfer learning
Research article (The Visual Computer, 2021) · cited 44× · AI/ML
An automated and efficient convolutional architecture for disguise-invariant face recognition using noise-based data augmentation and deep transfer learning
Summary
An automated and efficient convolutional architecture for disguise-invariant face recognition using noise-based data augmentation and deep transfer learning is a scholarly article[1].
Key Facts
An automated and efficient convolutional architecture for disguise-invariant face recognition using noise-based data augmentation and deep transfer learning's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). An automated and efficient convolutional architecture for disguise-invariant face recognition using noise-based data augmentation and deep transfer learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-automated-and-efficient-convolutional-architecture-for-disguise-invariant-face-recognition-using-noise-based-data-aug
MLA“An automated and efficient convolutional architecture for disguise-invariant face recognition using noise-based data augmentation and deep transfer learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-automated-and-efficient-convolutional-architecture-for-disguise-invariant-face-recognition-using-noise-based-data-aug.
BibTeX@misc{4ortxyz_an-automated-and-efficient-convolutional-architecture-for-disguise-invariant-face-recognition-using-noise-based-data-aug_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An automated and efficient convolutional architecture for disguise-invariant face recognition using noise-based data augmentation and deep transfer learning}}, year = {2026}, url = {https://4ort.xyz/entity/an-automated-and-efficient-convolutional-architecture-for-disguise-invariant-face-recognition-using-noise-based-data-aug}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An automated and efficient convolutional architecture for disguise-invariant face recognition using noise-based data augmentation and deep transfer learning — https://4ort.xyz/entity/an-automated-and-efficient-convolutional-architecture-for-disguise-invariant-face-recognition-using-noise-based-data-aug (retrieved 2026-05-24)