Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet
Summary
Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet is a scholarly article[1].
Key Facts
Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet's instance of is recorded as scholarly article[2].
References
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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). Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet. Retrieved May 24, 2026, from https://4ort.xyz/entity/accurate-iris-segmentation-and-recognition-using-an-end-to-end-unified-framework-based-on-madnet-and-dsanet
MLA“Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/accurate-iris-segmentation-and-recognition-using-an-end-to-end-unified-framework-based-on-madnet-and-dsanet.
BibTeX@misc{4ortxyz_accurate-iris-segmentation-and-recognition-using-an-end-to-end-unified-framework-based-on-madnet-and-dsanet_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet}}, year = {2026}, url = {https://4ort.xyz/entity/accurate-iris-segmentation-and-recognition-using-an-end-to-end-unified-framework-based-on-madnet-and-dsanet}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet — https://4ort.xyz/entity/accurate-iris-segmentation-and-recognition-using-an-end-to-end-unified-framework-based-on-madnet-and-dsanet (retrieved 2026-05-24)
