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Efficient CRNN: Towards end-to-end low resource Urdu text recognition using depthwise separable convolutions and gated recurrent units
Efficient CRNN: Towards end-to-end low resource Urdu text recognition using depthwise separable convolutions and gated recurrent units
Summary
Efficient CRNN: Towards end-to-end low resource Urdu text recognition using depthwise separable convolutions and gated recurrent units is a scholarly article[1].
Key Facts
Efficient CRNN: Towards end-to-end low resource Urdu text recognition using depthwise separable convolutions and gated recurrent units'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). Efficient CRNN: Towards end-to-end low resource Urdu text recognition using depthwise separable convolutions and gated recurrent units. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-crnn-towards-end-to-end-low-resource-urdu-text-recognition-using-depthwise-separable-convolutions-and-gated-re
MLA“Efficient CRNN: Towards end-to-end low resource Urdu text recognition using depthwise separable convolutions and gated recurrent units.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-crnn-towards-end-to-end-low-resource-urdu-text-recognition-using-depthwise-separable-convolutions-and-gated-re.
BibTeX@misc{4ortxyz_efficient-crnn-towards-end-to-end-low-resource-urdu-text-recognition-using-depthwise-separable-convolutions-and-gated-re_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient CRNN: Towards end-to-end low resource Urdu text recognition using depthwise separable convolutions and gated recurrent units}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-crnn-towards-end-to-end-low-resource-urdu-text-recognition-using-depthwise-separable-convolutions-and-gated-re}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient CRNN: Towards end-to-end low resource Urdu text recognition using depthwise separable convolutions and gated recurrent units — https://4ort.xyz/entity/efficient-crnn-towards-end-to-end-low-resource-urdu-text-recognition-using-depthwise-separable-convolutions-and-gated-re (retrieved 2026-05-24)