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10 papers · 1 filter
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-Resolution
Yan Wang, Tongtong Su, Yusen Li +3
Recent research on deep convolutional neural networks (CNNs) has provided a significant performance boost on efficient super-resolution (SR) tasks by trading off the performance an…
Multi-Scale U-Shape MLP for Hyperspectral Image Classification
Moule Lin, Weipeng Jing, Donglin Di +2
Hyperspectral images have significant applications in various domains, since they register numerous semantic and spatial information in the spectral band with spatial variability o…
Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN
Yongsong Huang, Qingzhong Wang, Shinichiro Omachi
In this paper, we present a medical AttentIon Denoising Super Resolution Generative Adversarial Network (AID-SRGAN) for diographic image super-resolution. First, we present a medic…
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images
Huihui Fang, Fei Li, Huazhu Fu +28
Age-related macular degeneration (AMD) is the leading cause of visual impairment among elderly in the world. Early detection of AMD is of great importance, as the vision loss cause…
Infrared Image Super-Resolution via Heterogeneous Convolutional WGAN
Yongsong Huang, Zetao Jiang, Qingzhong Wang +2
Image super-resolution is important in many fields, such as surveillance and remote sensing. However, infrared (IR) images normally have low resolution since the optical equipment…
Real Image Super Resolution Via Heterogeneous Model Ensemble using GP-NAS
Zhihong Pan, Baopu Li, Teng Xi +5
With advancement in deep neural network (DNN), recent state-of-the-art (SOTA) image superresolution (SR) methods have achieved impressive performance using deep residual network wi…