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Kernel Attention Network for Single Image Super-Resolution

https://doi.org/10.1145/3398685
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01231-1_12openalex-snapshot
To Learn Image Super-Resolution, Use a GAN to Learn How to Do Image Degradation First
inferredcites →https://doi.org/10.1007/978-3-030-01234-2_1openalex-snapshot
CBAM: Convolutional Block Attention Module
inferredcites →https://doi.org/10.1007/978-3-030-01234-2_18openalex-snapshot
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
inferredcites →https://doi.org/10.1007/978-3-030-01237-3_32openalex-snapshot
Multi-scale Residual Network for Image Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-030-01249-6_16openalex-snapshot
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network
inferredcites →https://doi.org/10.1007/978-3-319-10593-2_13openalex-snapshot
Learning a Deep Convolutional Network for Image Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_25openalex-snapshot
Accelerating the Super-Resolution Convolutional Neural Network
inferredcites →https://doi.org/10.1007/978-3-319-70090-8_23openalex-snapshot
Sharp and Real Image Super-Resolution Using Generative Adversarial Network
inferredcites →https://doi.org/10.1007/s11042-016-4020-zopenalex-snapshot
Sketch-based manga retrieval using manga109 dataset
inferredcites →https://doi.org/10.1016/1049-9652(91)90045-lopenalex-snapshot
Improving resolution by image registration
inferredcites →https://doi.org/10.1016/j.neucom.2017.12.014openalex-snapshot
Single image super-resolution using a deep encoder–decoder symmetrical network with iterative back projection
inferredcites →https://doi.org/10.1016/j.neucom.2020.03.069openalex-snapshot
MAMNet: Multi-path adaptive modulation network for image super-resolution
inferredcites →https://doi.org/10.1016/j.patrec.2018.06.030openalex-snapshot
Movie fill in the blank by joint learning from video and text with adaptive temporal attention
inferredcites →https://doi.org/10.1109/cvpr.2015.7299156openalex-snapshot
Single image super-resolution from transformed self-exemplars
inferredcites →https://doi.org/10.1109/cvpr.2016.181openalex-snapshot
Deeply-Recursive Convolutional Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2016.182openalex-snapshot
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.207openalex-snapshot
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.19openalex-snapshot
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
inferredcites →https://doi.org/10.1109/cvpr.2017.298openalex-snapshot
Image Super-Resolution via Deep Recursive Residual Network
inferredcites →https://doi.org/10.1109/cvpr.2017.300openalex-snapshot
Learning Deep CNN Denoiser Prior for Image Restoration
inferredcites →https://doi.org/10.1109/cvpr.2018.00082openalex-snapshot
Fast and Accurate Single Image Super-Resolution via Information Distillation Network
inferredcites →https://doi.org/10.1109/cvpr.2018.00179openalex-snapshot
Deep Back-Projection Networks for Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2018.00262openalex-snapshot
Residual Dense Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2018.00329openalex-snapshot
Zero-Shot Super-Resolution Using Deep Internal Learning
inferredcites →https://doi.org/10.1109/cvpr.2018.00344openalex-snapshot
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
inferredcites →https://doi.org/10.1109/cvpr.2018.00636openalex-snapshot
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2018.00745openalex-snapshot
Squeeze-and-Excitation Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00060openalex-snapshot
Selective Kernel Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00399openalex-snapshot
Feedback Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2019.01132openalex-snapshot
Second-Order Attention Network for Single Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr33180.2016openalex-snapshot
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
inferredcites →https://doi.org/10.1109/cvpr35066.2017openalex-snapshot
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
inferredcites →https://doi.org/10.1109/cvprw.2017.151openalex-snapshot
Enhanced Deep Residual Networks for Single Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvprw.2018.00113openalex-snapshot
Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/iccv.2001.937655openalex-snapshot
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
inferredcites →https://doi.org/10.1109/iccv.2017.486openalex-snapshot
MemNet: A Persistent Memory Network for Image Restoration
inferredcites →https://doi.org/10.1109/iccv37128.2017openalex-snapshot
2017 IEEE International Conference on Computer Vision (ICCV)
inferredcites →https://doi.org/10.1109/tci.2016.2644865openalex-snapshot
Loss Functions for Image Restoration With Neural Networks
inferredcites →https://doi.org/10.1109/tcsvt.2019.2915238openalex-snapshot
Channel-Wise and Spatial Feature Modulation Network for Single Image Super-Resolution
inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1109/tip.2017.2676345openalex-snapshot
Learning Discriminative Binary Codes for Large-scale Cross-modal Retrieval
inferredcites →https://doi.org/10.1109/tmm.2018.2863602openalex-snapshot
DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution With Large Factors
inferredcites →https://doi.org/10.1109/tnnls.2018.2851077openalex-snapshot
From Deterministic to Generative: Multimodal Stochastic RNNs for Video Captioning
inferredcites →https://doi.org/10.1109/tpami.2015.2439281openalex-snapshot
Image Super-Resolution Using Deep Convolutional Networks
inferredcites →https://doi.org/10.1109/tpami.2018.2865304openalex-snapshot
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks
inferredcites →https://doi.org/10.1109/tpami.2019.2894139openalex-snapshot
Hierarchical LSTMs with Adaptive Attention for Visual Captioning
inferredcites →https://doi.org/10.1145/1944846.1944852openalex-snapshot
Image and video upscaling from local self-examples
inferredcites →https://doi.org/10.1145/3123266.3123326openalex-snapshot
Adversarial Cross-Modal Retrieval
inferredcites →https://doi.org/10.1145/3343031.3351084openalex-snapshot
Lightweight Image Super-Resolution with Information Multi-distillation Network

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s00371-021-02193-4openalex-snapshot
Compact and progressive network for enhanced single image super-resolution—ComPrESRNet
inferred← citeshttps://doi.org/10.1007/s10439-023-03412-wopenalex-snapshot
Super-Resolution Reconstruction of CT Images Based on Multi-scale Information Fused Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.12.053openalex-snapshot
Scale attentive network for scene recognition
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.02.013openalex-snapshot
L0 structure-prior assisted blur-intensity aware efficient video deblurring
inferred← citeshttps://doi.org/10.1049/ipr2.13192openalex-snapshot
JOA‐GAN: An improved single‐image super‐resolution network for remote sensing based on GAN
inferred← citeshttps://doi.org/10.1109/access.2021.3098326openalex-snapshot
Efficient Video Super-Resolution via Hierarchical Temporal Residual Networks
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9377783openalex-snapshot
Feature Fusion Based on Sparse Block for Image Super-resolution
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533867openalex-snapshot
ADA: Adaptive Depth Attention Model for Click - Through Rate Prediction
inferred← citeshttps://doi.org/10.1109/tcsvt.2020.3044451openalex-snapshot
Multi-Branch Networks for Video Super-Resolution With Dynamic Reconstruction Strategy
inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3323483openalex-snapshot
Joint Pixel and Frequency Feature Learning and Fusion via Channel-Wise Transformer for High-Efficiency Learned In-Loop Filter in VVC
inferred← citeshttps://doi.org/10.1109/tetci.2024.3436904openalex-snapshot
CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/tgrs.2020.3009918openalex-snapshot
Remote Sensing Image Super-Resolution via Mixed High-Order Attention Network
inferred← citeshttps://doi.org/10.1109/tmm.2020.3008041openalex-snapshot
Large Factor Image Super-Resolution With Cascaded Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/tmm.2023.3254141openalex-snapshot
SMNet: Synchronous Multi-Scale Low Light Enhancement Network With Local and Global Concern
inferred← citeshttps://doi.org/10.1145/3532864openalex-snapshot
Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution
inferred← citeshttps://doi.org/10.1145/3550277openalex-snapshot
A Decoupled Kernel Prediction Network Guided by Soft Mask for Single Image HDR Reconstruction
inferred← citeshttps://doi.org/10.1145/3570164openalex-snapshot
Efficient Single-image Super-resolution Using Dual path Connections with Multiple scale Learning
inferred← citeshttps://doi.org/10.1145/3589963openalex-snapshot
Compressed Screen Content Image Super Resolution
inferred← citeshttps://doi.org/10.1145/3592613openalex-snapshot
Recurrent Multi-scale Approximation-Guided Network for Single Image Super-Resolution
inferred← citeshttps://doi.org/10.1145/3595924openalex-snapshot
Text Image Super-Resolution Guided by Text Structure and Embedding Priors
inferred← citeshttps://doi.org/10.1145/3604937openalex-snapshot
Double-Layer Search and Adaptive Pooling Fusion for Reference-Based Image Super-Resolution
inferred← citeshttps://doi.org/10.1145/3616376openalex-snapshot
An Image Arbitrary-Scale Super-Resolution Network Using Frequency-domain Information
inferred← citeshttps://doi.org/10.1145/3665246openalex-snapshot
Detail-preserving Joint Image Upsampling
inferred← citeshttps://doi.org/10.1145/3690387openalex-snapshot
Cross-Modal Face Super-Resolution Based on Quasi-Siamese Domain Transfer Fusion Network
inferred← citeshttps://doi.org/10.1145/3744650openalex-snapshot
Adaptive Alignment Contrastive Learning of Degradation Prediction for Blind Image Super-Resolution
inferred← citeshttps://doi.org/10.12794/metadc1944210openalex-snapshot
An Investigation of Scale Factor in Deep Networks for Scene Recognition
inferred← citeshttps://doi.org/10.3390/math8111907openalex-snapshot
Trends in Super-High-Definition Imaging Techniques Based on Deep Neural Networks
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