Authors: Tomáš Vojíř , Jan Šochman , and Jiří Matas

Affiliation: Czech Technical University in Prague

Description: TBD ...
trained on UrbanSyn only

method: Rein-DINOv2-G+S+U2025-05-05

Authors: BRAVO Challenge Organizers (paper and code from Zhixiang Wei, CVPR'24)

Description: Baseline obtained with Rein, gotten from the Rein's codebase

@InProceedings{Wei_2024_CVPR,
author = {Wei, Zhixiang and Chen, Lin and Jin, Yi and Ma, Xiaoxiao and Liu, Tianle and Ling, Pengyang and Wang, Ben and Chen, Huaian and Zheng, Jinjin},
title = {Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2024},
pages = {28619-28630}
}

method: PixOOD2025-10-06

Authors: Tomáš Vojíř , Jan Šochman , and Jiří Matas

Affiliation: Czech Technical University in Prague

Description: baseline method - only difference to the original publication is the training data used are UrbanSyn dataset only

Ranking Table

Description Paper Source Code
BRAVO IndexSubset H-MeansACDCfogACDCnightACDCrainACDCsnowSMIYCoutofcontextsynflaresynobjssynrain
DateMethodbravosemanticoodACDCfogACDCnightACDCrainACDCsnowSMIYCoutofcontextsynflaresynobjssynrainauprc_errauprc_sucaurocecefpr95miouauprc_errauprc_sucaurocecefpr95miouauprc_errauprc_sucaurocecefpr95miouauprc_errauprc_sucaurocecefpr95miouauprc_oodauroc_oodfpr95_oodauprc_errauprc_sucaurocecefpr95miouauprc_errauprc_sucaurocecefpr95miouauprc_errauprc_oodauprc_sucauroc_oodaurocecefpr95_oodfpr95miouauprc_errauprc_sucaurocecefpr95miou
2025-10-08PixOOD dual DINOv2 w/ trained w/ *sf0.67990.64760.71560.60240.61340.64940.58130.67600.67310.69610.72430.68130.43270.96950.85130.04620.64400.63070.45040.97300.84940.06250.59670.55270.42850.98120.86400.03040.53290.64230.47710.97410.87050.06750.70640.63620.68460.89390.46190.49580.98650.89860.00450.52090.59570.49160.98980.91030.02260.47850.65100.49310.58860.99160.96440.91720.01810.17440.44440.65190.51450.98770.90770.03000.51490.6035
2025-05-05Rein-DINOv2-G+S+U0.49360.44640.55190.42770.44590.47970.42410.56640.45330.45460.47120.44710.21650.95720.69770.34250.75460.74920.24650.95420.71090.26280.74410.59510.23200.97830.74660.32980.66810.75100.22560.94920.69750.32250.76850.69840.73130.88190.64230.22310.97310.73110.35390.70060.68060.20780.97890.75160.22200.70690.74880.20380.60760.97780.89640.75200.23070.64460.72260.73360.20930.97640.75300.22350.72400.7260
2025-10-06PixOOD0.37570.29560.51530.36940.36820.31990.32360.37920.32930.25980.34030.21030.37130.94500.77860.78220.78690.52050.34970.91460.71170.77920.76700.47260.25150.95020.73150.78890.82620.53410.31320.91180.70020.75320.85240.49990.43060.77820.76760.22900.95410.71880.74770.82200.54570.18710.92750.63850.78510.88440.55410.16840.63850.94160.97620.64870.80080.12480.86680.60680.17040.88720.56200.77070.92610.5359
2025-05-06FAMix-CLIPRN50-G0.26790.49530.18360.51420.42540.52380.47540.20460.55820.52410.29680.47780.50680.93400.80640.20730.69640.35340.53300.85480.73480.08070.77180.23650.47250.94660.80970.23890.68370.38890.47710.91180.76590.21930.75140.35450.25160.65510.89080.48210.96660.84280.26690.60950.39550.51140.93270.80370.23890.69800.39200.38780.08290.94820.74500.77810.29290.78340.72910.43920.44800.92910.78100.25700.76040.4079

Ranking Graphic - BRAVO Index

Ranking Graphic - Semantic H-Mean

Ranking Graphic - OOD H-Mean