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). YOLO V4 with hybrid dilated convolution attention module for object detection in the aerial dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/yolo-v4-with-hybrid-dilated-convolution-attention-module-for-object-detection-in-the-aerial-dataset
MLA“YOLO V4 with hybrid dilated convolution attention module for object detection in the aerial dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/yolo-v4-with-hybrid-dilated-convolution-attention-module-for-object-detection-in-the-aerial-dataset.
BibTeX@misc{4ortxyz_yolo-v4-with-hybrid-dilated-convolution-attention-module-for-object-detection-in-the-aerial-dataset_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{YOLO V4 with hybrid dilated convolution attention module for object detection in the aerial dataset}}, year = {2026}, url = {https://4ort.xyz/entity/yolo-v4-with-hybrid-dilated-convolution-attention-module-for-object-detection-in-the-aerial-dataset}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): YOLO V4 with hybrid dilated convolution attention module for object detection in the aerial dataset — https://4ort.xyz/entity/yolo-v4-with-hybrid-dilated-convolution-attention-module-for-object-detection-in-the-aerial-dataset (retrieved 2026-05-24)
