PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition

Research article (IEEE Transactions on Circuits and Systems for Video Technology, 2023) · cited 42× · AI/ML
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PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition

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PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition is a scholarly article[1].

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  • PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition's instance of is recorded as scholarly article[2].

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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). PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/parformer-transformer-based-multi-task-network-for-pedestrian-attribute-recognition
MLA “PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/parformer-transformer-based-multi-task-network-for-pedestrian-attribute-recognition.
BibTeX @misc{4ortxyz_parformer-transformer-based-multi-task-network-for-pedestrian-attribute-recognition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition}}, year = {2026}, url = {https://4ort.xyz/entity/parformer-transformer-based-multi-task-network-for-pedestrian-attribute-recognition}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition — https://4ort.xyz/entity/parformer-transformer-based-multi-task-network-for-pedestrian-attribute-recognition (retrieved 2026-05-24)

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