Scene text detection via extremal region based double threshold convolutional network classification
Summary
Scene text detection via extremal region based double threshold convolutional network classification is a scholarly article[1].
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Scene text detection via extremal region based double threshold convolutional network classification's instance of is recorded as scholarly article[2].
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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). Scene text detection via extremal region based double threshold convolutional network classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/scene-text-detection-via-extremal-region-based-double-threshold-convolutional-network-classification
MLA“Scene text detection via extremal region based double threshold convolutional network classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scene-text-detection-via-extremal-region-based-double-threshold-convolutional-network-classification.
BibTeX@misc{4ortxyz_scene-text-detection-via-extremal-region-based-double-threshold-convolutional-network-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Scene text detection via extremal region based double threshold convolutional network classification}}, year = {2026}, url = {https://4ort.xyz/entity/scene-text-detection-via-extremal-region-based-double-threshold-convolutional-network-classification}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Scene text detection via extremal region based double threshold convolutional network classification — https://4ort.xyz/entity/scene-text-detection-via-extremal-region-based-double-threshold-convolutional-network-classification (retrieved 2026-05-24)
