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Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin +2 morePublished Jan 1, 2016
DOI Publisher
Researcher verdict
Context only
Use as context only
Benchmark evidence
Missing
Not verified yet
Time to first repro
A few days
Plan setup time
Risk flags
1
Review before use

Results and benchmarks

Freshness tier: cold
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition focuses on computer science.

Implementation

No direct implementation yet

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Implementation evidence summary
Confidence: medium

aymericdamien/TopDeepLearning is the closest maintained adjacent implementation (Matches contextual method/domain keyword: deep learning). It is not paper-verified; validate algorithm and evaluation setup against the paper before trusting reported metrics. Community adoption signal: 6332 GitHub stars.

Reproduction risks
  • Adjacent implementations are not paper-verified
  • Recommended repository is adjacent and not paper-verified.

Reproduction readiness

Time to first repro: days
Last checked: Sep 12, 2026

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No verified implementation available

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Hardware requirements

  • Expect multi-day setup/compute for meaningful reproduction based on current guidance.

Repositories and ecosystem

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Research context

3,991

Citations

41

References

Tasks

Computer science, Action recognition, Code (set theory), Deep learning, Pattern recognition (psychology), Convolutional neural network, Physical Sciences

Methods

None detected

Domains

Artificial intelligence, Action (physics), Machine learning, Computer Vision and Pattern Recognition

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