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). ESC-YOLO: optimizing apple fruit recognition with efficient spatial and channel features in YOLOX. Retrieved May 24, 2026, from https://4ort.xyz/entity/esc-yolo-optimizing-apple-fruit-recognition-with-efficient-spatial-and-channel-features-in-yolox
MLA“ESC-YOLO: optimizing apple fruit recognition with efficient spatial and channel features in YOLOX.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/esc-yolo-optimizing-apple-fruit-recognition-with-efficient-spatial-and-channel-features-in-yolox.
BibTeX@misc{4ortxyz_esc-yolo-optimizing-apple-fruit-recognition-with-efficient-spatial-and-channel-features-in-yolox_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ESC-YOLO: optimizing apple fruit recognition with efficient spatial and channel features in YOLOX}}, year = {2026}, url = {https://4ort.xyz/entity/esc-yolo-optimizing-apple-fruit-recognition-with-efficient-spatial-and-channel-features-in-yolox}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ESC-YOLO: optimizing apple fruit recognition with efficient spatial and channel features in YOLOX — https://4ort.xyz/entity/esc-yolo-optimizing-apple-fruit-recognition-with-efficient-spatial-and-channel-features-in-yolox (retrieved 2026-05-24)
