Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition

Research article (2018 14th IEEE International Conference on Signal Processing (ICSP), 2018) · cited 13× · AI/ML

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Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition

Summary

Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition is a scholarly article^[1].

Key Facts

Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition's instance of is recorded as scholarly article^[2].

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Quick Facts

Instance of scholarly article

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Authored by 4

Gaoyun An, Yongwen Liu, Yuxuan Wu, Zhenxing Zheng

← Author of 4

Gaoyun An, Yongwen Liu, Yuxuan Wu, Zhenxing Zheng

References

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Direct Wikidata claims

[2] ↑ Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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APA

4ort.xyz Knowledge Graph. (2026). Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/squeeze-and-excitation-on-spatial-and-temporal-deep-feature-space-for-action-recognition

MLA

“Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/squeeze-and-excitation-on-spatial-and-temporal-deep-feature-space-for-action-recognition.

BibTeX

@misc{4ortxyz_squeeze-and-excitation-on-spatial-and-temporal-deep-feature-space-for-action-recognition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition}}, year = {2026}, url = {https://4ort.xyz/entity/squeeze-and-excitation-on-spatial-and-temporal-deep-feature-space-for-action-recognition}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition — https://4ort.xyz/entity/squeeze-and-excitation-on-spatial-and-temporal-deep-feature-space-for-action-recognition (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/squeeze-and-excitation-on-spatial-and-temporal-deep-feature-space-for-action-recognition · Last refreshed: May 24, 2026