Detection Transformer Framework for Recognition of Heavily Occluded Suspicious Objects

Research article (2023 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2023) · cited 10× · AI/ML

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Detection Transformer Framework for Recognition of Heavily Occluded Suspicious Objects

Summary

Detection Transformer Framework for Recognition of Heavily Occluded Suspicious Objects is a scholarly article^[1].

Key Facts

Detection Transformer Framework for Recognition of Heavily Occluded Suspicious Objects's instance of is recorded as scholarly article^[2].

References

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Direct Wikidata claims

[2] ↑ Detection Transformer Framework for Recognition of Heavily Occluded Suspicious Objects — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ Detection Transformer Framework for Recognition of Heavily Occluded Suspicious Objects is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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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.

APA

4ort.xyz Knowledge Graph. (2026). Detection Transformer Framework for Recognition of Heavily Occluded Suspicious Objects. Retrieved May 24, 2026, from https://4ort.xyz/entity/detection-transformer-framework-for-recognition-of-heavily-occluded-suspicious-objects

MLA

“Detection Transformer Framework for Recognition of Heavily Occluded Suspicious Objects.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detection-transformer-framework-for-recognition-of-heavily-occluded-suspicious-objects.

BibTeX

@misc{4ortxyz_detection-transformer-framework-for-recognition-of-heavily-occluded-suspicious-objects_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detection Transformer Framework for Recognition of Heavily Occluded Suspicious Objects}}, year = {2026}, url = {https://4ort.xyz/entity/detection-transformer-framework-for-recognition-of-heavily-occluded-suspicious-objects}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detection Transformer Framework for Recognition of Heavily Occluded Suspicious Objects — https://4ort.xyz/entity/detection-transformer-framework-for-recognition-of-heavily-occluded-suspicious-objects (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/detection-transformer-framework-for-recognition-of-heavily-occluded-suspicious-objects · Last refreshed: May 24, 2026