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Found 4 papers, 2 papers with code
Registration-Free Hybrid Learning Empowers Simple Multimodal Imaging System for High-quality Fusion Detection
Multimodal fusion detection always places high demands on the imaging system and image pre-processing, while either a high-quality pre-registration system or image registration processing is costly.
Physics Driven Deep Retinex Fusion for Adaptive Infrared and Visible Image Fusion
In this study, we show that, the structures of generative networks capture a great deal of image feature priors, and then these priors are sufficient to reconstruct high-quality fused super-resolution result using only low-resolution inputs.
Deep Fusion Prior for Plenoptic Super-Resolution All-in-Focus Imaging
Multi-focus image fusion (MFIF) and super-resolution (SR) are the inverse problem of imaging model, purposes of MFIF and SR are obtaining all-in-focus and high-resolution 2D mapping of targets.
Object Detection in Specific Traffic Scenes using YOLOv2
object detection framework plays crucial role in autonomous driving.
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