First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation
<|reference_start|>First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation: In this report, we present the first place solution to the ECCV 2024 BRAVO Challenge, where a model is trained on Cityscapes and its robustness is evaluated on several out-of-distribution datasets. Our solution leverages the powerful representations learned by vision foundation models, by attaching a simple segmentation decoder to DINOv2 and fine-tuning the entire model. This approach outperforms more complex existing approaches, and achieves first place in the challenge. Our code is publicly available at https://github.com/tue-mps/benchmark-vfm-ss.<|reference_end|>
@article{kerssies2024first,
    title={First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating
  Robustness of Vision Foundation Models for Semantic Segmentation},
    author={Tommie Kerssies, Daan de Geus, Gijs Dubbelman},
    journal={arXiv preprint arXiv:2409.17208},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.17208},
    primaryClass={cs.CV cs.AI cs.LG cs.RO}
}