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Models/GRIN

GRIN

Reported on 8 benchmarks across 5 tasks · 2 papers · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Time Series3 results

ImputationonBeijing Multi-Site Air-Quality Dataset
MAE (PM2.5)· 2021-07-31
10.51
SOTA
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks arXiv:2108.00298
Traffic PredictiononMETR-LA Point Missing
MAE· 2021-07-31
1.91
SOTA
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks arXiv:2108.00298
Traffic PredictiononPEMS-BAY Point Missing
MAE· 2021-07-31
0.67
SOTA
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks arXiv:2108.00298

Methodology3 results

Feature EngineeringonBeijing Multi-Site Air-Quality Dataset
MAE (PM2.5)· 2021-07-31
10.51
SOTA
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks arXiv:2108.00298
3DonNYU-Depth V2
RMSE· uses extra data· 2024-09-15
0.251
best: 0.013 (Defocus/DepthNet (Normalized))
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion arXiv:2409.09896
3DonNYU-Depth V2
absolute relative error· uses extra data· 2024-09-15
0.051
best: 0.026 (HybridDepth)
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion arXiv:2409.09896

Computer Vision2 results

Depth EstimationonNYU-Depth V2
RMSE· uses extra data· 2024-09-15
0.251
best: 0.013 (Defocus/DepthNet (Normalized))
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion arXiv:2409.09896
Depth EstimationonNYU-Depth V2
absolute relative error· uses extra data· 2024-09-15
0.051
best: 0.026 (HybridDepth)
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion arXiv:2409.09896