A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection
[article]
2022
arXiv
pre-print
Saliency detection with light field images is becoming attractive given the abundant cues available, however, this comes at the expense of large-scale pixel level annotated data which is expensive to generate. In this paper, we propose to learn light field saliency from pixel-level noisy labels obtained from unsupervised hand crafted featured based saliency methods. Given this goal, a natural question is: can we efficiently incorporate the relationships among light field cues while identifying
arXiv:2204.13456v1
fatcat:np3aj7mzingu3gt46zwym5emha