CDNet: object detection based on cross-level aggregation and deformable attention for UAV aerial images
Summary
CDNet: object detection based on cross-level aggregation and deformable attention for UAV aerial images is a scholarly article[1].
Key Facts
CDNet: object detection based on cross-level aggregation and deformable attention for UAV aerial images'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). CDNet: object detection based on cross-level aggregation and deformable attention for UAV aerial images. Retrieved May 24, 2026, from https://4ort.xyz/entity/cdnet-object-detection-based-on-cross-level-aggregation-and-deformable-attention-for-uav-aerial-images
MLA“CDNet: object detection based on cross-level aggregation and deformable attention for UAV aerial images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cdnet-object-detection-based-on-cross-level-aggregation-and-deformable-attention-for-uav-aerial-images.
BibTeX@misc{4ortxyz_cdnet-object-detection-based-on-cross-level-aggregation-and-deformable-attention-for-uav-aerial-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CDNet: object detection based on cross-level aggregation and deformable attention for UAV aerial images}}, year = {2026}, url = {https://4ort.xyz/entity/cdnet-object-detection-based-on-cross-level-aggregation-and-deformable-attention-for-uav-aerial-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CDNet: object detection based on cross-level aggregation and deformable attention for UAV aerial images — https://4ort.xyz/entity/cdnet-object-detection-based-on-cross-level-aggregation-and-deformable-attention-for-uav-aerial-images (retrieved 2026-05-24)
