Search Log In

fig6

From:  Unsupervised monocular depth estimation with aggregating image features and wavelet SSIM (Structural SIMilarity) loss
Unsupervised monocular depth estimation with aggregating image features and wavelet SSIM (Structural SIMilarity) loss

Figure 6. Some predicted depth examples on the Make3D dataset. The models were all trained on KITTI only, monocular, and directly tested on Make3D.

Intelligence & Robotics
ISSN 2770-3541 (Online)
Navigation
Follow Us
Navigation

Committee on Publication Ethics

https://publicationethics.org/members/intelligence-robotics

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Committee on Publication Ethics

https://publicationethics.org/members/intelligence-robotics

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/
partners@oaepublish.com Company Contact Us
Discover Content
Follow OAE
Twitter
Facebook
LinkedIn
YouTube
BiLiBiLi
WeChat
© 2016-2024 OAE Publishing Inc., except certain content provided by third parties