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GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set

Research article (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021) · cited 198× · AI/ML
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GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set

Summary

GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set is a scholarly article[1].

Key Facts

  • GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . 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). GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set. Retrieved May 24, 2026, from https://4ort.xyz/entity/gaitset-cross-view-gait-recognition-through-utilizing-gait-as-a-deep-set
MLA “GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gaitset-cross-view-gait-recognition-through-utilizing-gait-as-a-deep-set.
BibTeX @misc{4ortxyz_gaitset-cross-view-gait-recognition-through-utilizing-gait-as-a-deep-set_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set}}, year = {2026}, url = {https://4ort.xyz/entity/gaitset-cross-view-gait-recognition-through-utilizing-gait-as-a-deep-set}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set — https://4ort.xyz/entity/gaitset-cross-view-gait-recognition-through-utilizing-gait-as-a-deep-set (retrieved 2026-05-24)

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