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TriNet

Published
Nov 21, 2017

TriNet is an AI model developed by Visual Computing Institute and RWTH Aachen University (Germany), first published in November 2017. It works in the video domain, on tasks such as person re-identification.

Epoch AI has no training-compute estimate for this model. It was trained on roughly 509.9K datapoints.

The reference paper has 3,553 citations.

Full record
Organization
Visual Computing Institute, RWTH Aachen University
Country of organization
Germany
Domain
Video
Task
Person re-identification
Dataset size
509.9K
Numerical format
FP32
Citations
3,553
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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