Papers › Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition

Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition

5 Dec 2022arXiv:2212.02059archive 2025-07-28

Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun

The Weather4Cast competition (hosted by NeurIPS 2022) required competitors to predict super-resolution rain movies in various regions of Europe when low-resolution satellite contexts covering wider regions are given. In this paper, we show that a general baseline 3D U-Net can be significantly improved with region-conditioned layers as well as orthogonality regularizations on 1x1x1 convolutional layers. Additionally, we facilitate the generalization with a bag of training strategies: mixup data augmentation, self-distillation, and feature-wise linear modulation (FiLM). Presented modifications outperform the baseline algorithms (3D U-Net) by up to 19.54% with less than 1% additional parameters, which won the 4th place in the core test leaderboard.

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Code

Syntology Ran 18 of 20 code samples harvested from 1 repository linked to this paper; 2 have no recorded run. Of those that ran: 2 ran · honoured contract; 1 ran · violated contract; 5 ran · our draft was wrong; 3 ran · fixture could not drive it; 7 ran with no contract checked.

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hyeonjeong1/22-neurips-competition-baseline officialmentioned in papermentioned on GitHubpytorch report
hyeonjeong1/22-NeurIPS-Weather4Cast officialmentioned on GitHubpytorch report

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20 samples harvested; 18 ran; 2 honoured the contract we drafted; 2 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.

2ran · honoured contract
1ran · violated contract
5ran · our draft was wrong
3ran · fixture could not drive it
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ConditionWithRegion hyeonjeong1/22-neurips-competition-baseline/models/baseline_UNET3D_bottleneck.py official repository ran · metamorphic tier: deterministic no licence file found · pointer only · ad7c2440a4114f5b · report
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RegionConditioner hyeonjeong1/22-neurips-competition-baseline/models/baseline_UNET3D_bottleneck.py official repository ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only · 49eafa78188f520f · report
ResizeConv hyeonjeong1/22-neurips-competition-baseline/models/baseline_UNET3D_bottleneck.py official repository ran · metamorphic tier: deterministic no licence file found · pointer only · 5e50e483df5d6165 · report
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get_conv identical code first harvested elsewhere ran · fixture could not drive it licence of this copy not recorded · d473e9bce385040b · report
get_convtranspose identical code first harvested elsewhere ran · fixture could not drive it licence of this copy not recorded · a3169a7b1435e0dc · report
get_maxpool identical code first harvested elsewhere ran · fixture could not drive it licence of this copy not recorded · a12e2f04ad60d321 · report

Tasks

Data AugmentationSuper-Resolution

Results from the paper archive 2025-07-28

No leaderboard rows for this paper in the archive.

Methods

Concatenated Skip ConnectionConvolutionMax PoolingMixupReLUTestU-Net

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