Investigating Synthetic-to-Real Transfer Robustness for Stereo Matching and Optical Flow Estimation
With advancements in robust stereo matching and optical flow estimation networks, models pre-trained on synthetic data demonstrate strong robustness to unseen domains. However, their robustness can be seriously degraded when fine-tuning them in real-world scenarios. This paper investigates fine-tuni...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 10 vom: 18. Sept., Seite 9113-9129
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| Auteur principal: |
Zhang, Jiawei
(Auteur) |
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| Autres auteurs: |
Li, Jiahe,
Huang, Lei,
Luo, Haonan,
Yu, Xiaohan,
Gu, Lin,
Zheng, Jin,
Bai, Xiao |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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