SR-POD: Sample rotation based on principal-axis orientation distribution for data augmentation in deep object detection
Summary
SR-POD: Sample rotation based on principal-axis orientation distribution for data augmentation in deep object detection is a scholarly article[1].
Key Facts
SR-POD: Sample rotation based on principal-axis orientation distribution for data augmentation in deep object detection's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). SR-POD: Sample rotation based on principal-axis orientation distribution for data augmentation in deep object detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/sr-pod-sample-rotation-based-on-principal-axis-orientation-distribution-for-data-augmentation-in-deep-object-detection
MLA“SR-POD: Sample rotation based on principal-axis orientation distribution for data augmentation in deep object detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sr-pod-sample-rotation-based-on-principal-axis-orientation-distribution-for-data-augmentation-in-deep-object-detection.
BibTeX@misc{4ortxyz_sr-pod-sample-rotation-based-on-principal-axis-orientation-distribution-for-data-augmentation-in-deep-object-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SR-POD: Sample rotation based on principal-axis orientation distribution for data augmentation in deep object detection}}, year = {2026}, url = {https://4ort.xyz/entity/sr-pod-sample-rotation-based-on-principal-axis-orientation-distribution-for-data-augmentation-in-deep-object-detection}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SR-POD: Sample rotation based on principal-axis orientation distribution for data augmentation in deep object detection — https://4ort.xyz/entity/sr-pod-sample-rotation-based-on-principal-axis-orientation-distribution-for-data-augmentation-in-deep-object-detection (retrieved 2026-05-24)