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Franck Davoine

2 accepted papers

2024

GroCo: Ground Constraint for Metric Self-Supervised Monocular Depth

ECCV 2024poster

"Monocular depth estimation has greatly improved in the recent years but models predicting metric depth still struggle to generalize across diverse camera poses and datasets. While recent supervised methods mitigate this issue by leveraging ground prior information at inference, their adaptability t…

2018

Explicit Inductive Bias for Transfer Learning with Convolutional Networks

ICML 2018oral

In inductive transfer learning, fine-tuning pre-trained convolutional networks substantially outperforms training from scratch. When using fine-tuning, the underlying assumption is that the pre-trained model extracts generic features, which are at least partially relevant for solving the target task…

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