Fast and memory efficient de-hazing technique for real-time computer vision applications

By Prathap Soma, Ravi Kumar Jatoth, Hathiram Nenavath. 2020

5 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Yen-Chang Hsu
2. Zsolt Kira
3. Hongxia Jin
4. Yilin Shen
5. James Smith
6. Jonathan C. Balloch
7. Yixuan Li
8. Andrew Zisserman

In Media Technology

1. Zsolt Kira
2. Yilin Shen
3. Yen-Chang Hsu

Citations in the corpus

• Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning (2021, background): “This is concerning for many computer vision applications because 1) Many computer vision applications are on-device and therefore memory constrained [17, 37, 54], and 2) Many computer vision applications learn from data which cannot be legally stored [6, 12, 64].”