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onboard-speednet

PyTorch
video
regression
speed-estimation
optical-flow
Model card Files
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onboard-speednet

Commit History

  1. IMU-only models: v2 (video-distilled, indoor specialist) + lam01 (outdoor)

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  2. IMU-only models: v2 (video-distilled, indoor specialist) + lam01 (outdoor)

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  3. document v3b

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  4. v3b: context branch on 7-domain corpus — best-in-class all domains

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  5. Update README.md

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  6. document v2b

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  7. add v2b: expanded-corpus model (L2D+comma2k19)

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  1. document context-branch experiments (v3/v4): negative result, data-diversity bottleneck

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  2. SpeedNet v2 + baseline: flow->CNN->GRU ego-speed, lap-time supervised

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  3. initial commit

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