Home ›
Entities
› academia
› Towards a methodology for training with synthetic data on the example of pedestrian detection in a frame-by-frame semantic segmentation task
Towards a methodology for training with synthetic data on the example of pedestrian detection in a frame-by-frame semantic segmentation task
Research article (Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems, 2018) · cited 10× · AI/ML
Towards a methodology for training with synthetic data on the example of pedestrian detection in a frame-by-frame semantic segmentation task
Summary
Towards a methodology for training with synthetic data on the example of pedestrian detection in a frame-by-frame semantic segmentation task is a scholarly article[1].
Key Facts
Towards a methodology for training with synthetic data on the example of pedestrian detection in a frame-by-frame semantic segmentation task's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Towards a methodology for training with synthetic data on the example of pedestrian detection in a frame-by-frame semantic segmentation task. Retrieved May 24, 2026, from https://4ort.xyz/entity/towards-a-methodology-for-training-with-synthetic-data-on-the-example-of-pedestrian-detection-in-a-frame-by-frame-semant
MLA“Towards a methodology for training with synthetic data on the example of pedestrian detection in a frame-by-frame semantic segmentation task.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/towards-a-methodology-for-training-with-synthetic-data-on-the-example-of-pedestrian-detection-in-a-frame-by-frame-semant.
BibTeX@misc{4ortxyz_towards-a-methodology-for-training-with-synthetic-data-on-the-example-of-pedestrian-detection-in-a-frame-by-frame-semant_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Towards a methodology for training with synthetic data on the example of pedestrian detection in a frame-by-frame semantic segmentation task}}, year = {2026}, url = {https://4ort.xyz/entity/towards-a-methodology-for-training-with-synthetic-data-on-the-example-of-pedestrian-detection-in-a-frame-by-frame-semant}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Towards a methodology for training with synthetic data on the example of pedestrian detection in a frame-by-frame semantic segmentation task — https://4ort.xyz/entity/towards-a-methodology-for-training-with-synthetic-data-on-the-example-of-pedestrian-detection-in-a-frame-by-frame-semant (retrieved 2026-05-24)
