过去一年中添加的文章，按日期排序
Learning Accurate Features for Super-Resolution Spacecraft ISAR Imaging
H Gao, J Yang, N Wang, J Yang… - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
24 天前 - … ISAR image super resolution. [3] investigate the application of two … feature by a
scale factor of s. Moreover, to alleviate the feature learning workload, we employ global residual …
scale factor of s. Moreover, to alleviate the feature learning workload, we employ global residual …
HorSR: High-Order Spatial Interactions and Residual Global Filter for Efficient Image Super-Resolution
F Wang, X Chu - Signal Processing: Image Communication, 2024 - Elsevier
28 天前 - … image super-resolution (EISR) include convolutional neural networks, which exploit
distillation and aggregation … exploit limited hierarchical features. In contrast, the Transformer …
distillation and aggregation … exploit limited hierarchical features. In contrast, the Transformer …
Super-Resolving Blurry Images with Events
35 天前 - … Event-based Blurry Super Resolution Network (EBSR-Net)… intermodal residual group
composed of several residual … in Motion-blurred Image Super-Resolution (MSR) in scenes …
composed of several residual … in Motion-blurred Image Super-Resolution (MSR) in scenes …
基于多维空间卷积信息增强的低质车牌信息超分辨率重建
张睿， 惠永科， 张延军， 潘理虎 - 计算机应用, 2024 - joca.cn
37 天前 - … ) of proposed network is 26.68dB, … super-resolution with Cascading Residual
Network(CARN) and N-Gram in Swin transformers for efficient lightweight image super-resolution(…
Network(CARN) and N-Gram in Swin transformers for efficient lightweight image super-resolution(…
Super-resolution reconstruction for low-quality license plate information based on multi-dimensional spatial convolutional information enhancement
R ZHANG, YK HUI, YJ ZHANG, LH PAN - Journal of Computer Applications, 2024 - joca.cn
37 天前 - … super-resolution with Cascading Residual Network(CARN… efficient lightweight
image super-resolution(NGramSwin). … super-resolution with Cascading Residual Network),…
image super-resolution(NGramSwin). … super-resolution with Cascading Residual Network),…
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
37 天前 - … Enhanced deep residual networks for single image super-resolution. In Proceedings
of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, …
of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, …
Uncertainty-driven mixture convolution and transformer network for remote sensing image super-resolution
X Zhang - Scientific Reports, 2024 - nature.com
52 天前 - … neural networks (CNNs) and Transformer-based Networks … the realm of remote
sensing image super-resolution (RSISR), … residual network for single image super-resolution. In …
sensing image super-resolution (RSISR), … residual network for single image super-resolution. In …
TARN: a lightweight two-branch adaptive residual network for image super-resolution
64 天前 - … residual network (TARN) for SISR reconstruction. To effectively utilize the residual
features, a two-branch adaptive residual … Image super-resolution (SR) reconstruction is a …
features, a two-branch adaptive residual … Image super-resolution (SR) reconstruction is a …
Dual Directional Complementary Gradient Fusion and Deep Refinement for Hyperspectral Image Super Resolution
YW Du, J Wang, X Wu, XH Han - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
78 天前 - … feature learning. In general, we establish a multi-phase residual component
reconstruction network, where each phase aims to learn the un-recovered residual in the previous …
reconstruction network, where each phase aims to learn the un-recovered residual in the previous …
MadFormer: multi-attention-driven image super-resolution method based on Transformer
B Liu, J Sun, B Zhu, T Li, F Sun - Multimedia Systems, 2024 - Springer
94 天前 - … operation to extract shallow features while being fed into a residual multi-attention
block … on deep learning methods for image super-resolution and Visual Transformers; Section …
block … on deep learning methods for image super-resolution and Visual Transformers; Section …