10 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CV2023
Infrared Image Deturbulence Restoration Using Degradation Parameter-Assisted Wide & Deep Learning
Yi Lu, Yadong Wang, Xingbo Jiang +1
Infrared images captured under turbulent conditions are degraded by complex geometric distortions and blur. We address infrared deturbulence as an image restoration task, proposing…
cs.CV2023★ 10 cited
Learning to "Segment Anything" in Thermal Infrared Images through Knowledge Distillation with a Large Scale Dataset SATIR
Junzhang Chen, Xiangzhi Bai
The Segment Anything Model (SAM) is a promptable segmentation model recently introduced by Meta AI that has demonstrated its prowess across various fields beyond just image segment…