Papers Few-Shot Camera-Adaptive Color Constancy

“Few-Shot Camera-Adaptive Color Constancy” 태그가 달린 논문 3편 · 필터 해제

INTEL-TAU: A Color Constancy Dataset

2019-10-23 · Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen 외

In this paper, we describe a new large dataset for illumination estimation. This dataset, called INTEL-TAU, contains 7022 images in total, which makes it the largest available high-resolution dataset for illumination est…

Color Constancy Few-Shot Camera-Adaptive Color Constancy Image Declipping Multi-target regression

Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem

2018-11-28 · Steven McDonagh, Sarah Parisot, Fengwei Zhou, Xing Zhang 외

Digital camera pipelines employ color constancy methods to estimate an unknown scene illuminant, in order to re-illuminate images as if they were acquired under an achromatic light source. Fully-supervised learning appro…

Color Constancy Few-Shot Camera-Adaptive Color Constancy Meta-Learning

Spatial Deep Learning for Wireless Scheduling

2018-08-04 · Wei Cui, Kaiming Shen, Wei Yu

The optimal scheduling of interfering links in a dense wireless network with full frequency reuse is a challenging task. The traditional method involves first estimating all the interfering channel strengths then optimiz…

Deep Learning Fairness Few-Shot Camera-Adaptive Color Constancy Scheduling