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pro vyhledávání: '"Mattia Segu"'
Autor:
Tao Sun, Mattia Segu, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE/CVF Conference on Computer Vision and Pattern Recognition
IEEE/CVF Conference on Computer Vision and Pattern Recognition
Adapting to a continuously evolving environment is a safety-critical challenge inevitably faced by all autonomous-driving systems. Existing image- and video-based driving datasets, however, fall short of capturing the mutable nature of the real world
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7941fce1d31fbb9d3508a3cd4922496
https://hdl.handle.net/20.500.11850/583792
https://hdl.handle.net/20.500.11850/583792
Domain generalization aims at training machine learning models to perform robustly across different and unseen domains. Several recent methods use multiple datasets to train models to extract domain-invariant features, hoping to generalize to unseen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed271454105260d3d0a0e010275b7a9d