Fooling deep neural detection networks with adaptive object-oriented adversarial perturbation

Research article (Pattern Recognition, 2021) · cited 36× · AI/ML
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Fooling deep neural detection networks with adaptive object-oriented adversarial perturbation

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Fooling deep neural detection networks with adaptive object-oriented adversarial perturbation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Fooling deep neural detection networks with adaptive object-oriented adversarial perturbation. Retrieved May 24, 2026, from https://4ort.xyz/entity/fooling-deep-neural-detection-networks-with-adaptive-object-oriented-adversarial-perturbation
MLA “Fooling deep neural detection networks with adaptive object-oriented adversarial perturbation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fooling-deep-neural-detection-networks-with-adaptive-object-oriented-adversarial-perturbation.
BibTeX @misc{4ortxyz_fooling-deep-neural-detection-networks-with-adaptive-object-oriented-adversarial-perturbation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fooling deep neural detection networks with adaptive object-oriented adversarial perturbation}}, year = {2026}, url = {https://4ort.xyz/entity/fooling-deep-neural-detection-networks-with-adaptive-object-oriented-adversarial-perturbation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fooling deep neural detection networks with adaptive object-oriented adversarial perturbation — https://4ort.xyz/entity/fooling-deep-neural-detection-networks-with-adaptive-object-oriented-adversarial-perturbation (retrieved 2026-05-24)

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