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Lightweight Feature De-redundancy and Self-calibration Network for Efficient Image Super-resolution

https://doi.org/10.1145/3569900
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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/10.1007/978-3-642-27413-8_47openalex-snapshot
On Single Image Scale-Up Using Sparse-Representations
inferredcites →https://doi.org/10.1007/s11042-016-4020-zopenalex-snapshot
Sketch-based manga retrieval using manga109 dataset
inferredcites →https://doi.org/10.1016/j.inffus.2021.09.005openalex-snapshot
Real-world single image super-resolution: A brief review
inferredcites →https://doi.org/10.1016/j.patcog.2020.107475openalex-snapshot
Hierarchical dense recursive network for image super-resolution
inferredcites →https://doi.org/10.1016/j.patcog.2020.107539openalex-snapshot
Constructing multilayer locality-constrained matrix regression framework for noise robust face 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.2018.00745openalex-snapshot
Squeeze-and-Excitation Networks
inferredcites →https://doi.org/10.1109/cvpr52729.2023.02142openalex-snapshot
Activating More Pixels in Image Super-Resolution Transformer
inferredcites →https://doi.org/10.1109/iccv.2017.486openalex-snapshot
MemNet: A Persistent Memory Network for Image Restoration
inferredcites →https://doi.org/10.1109/tcsvt.2021.3071191openalex-snapshot
A Two-Stage Attentive Network for Single Image Super-Resolution
inferredcites →https://doi.org/10.1109/tcsvt.2021.3078436openalex-snapshot
Lightweight Image Super-Resolution With Expectation-Maximization Attention Mechanism
inferredcites →https://doi.org/10.1109/tcyb.2020.2970104openalex-snapshot
MADNet: A Fast and Lightweight Network for Single-Image Super Resolution
inferredcites →https://doi.org/10.1109/tmm.2020.2999182openalex-snapshot
Coarse-to-Fine CNN for Image Super-Resolution
inferredcites →https://doi.org/10.1109/tmm.2020.3005025openalex-snapshot
Accurate and Efficient Image Super-Resolution via Global-Local Adjusting Dense Network
inferredcites →https://doi.org/10.1109/tmm.2020.3008041openalex-snapshot
Large Factor Image Super-Resolution With Cascaded Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/tmm.2022.3192769openalex-snapshot
Context-Patch Representation Learning With Adaptive Neighbor Embedding for Robust Face Image Super-Resolution
inferredcites →https://doi.org/10.1109/tmm.2023.3272474openalex-snapshot
Cross-Receptive Focused Inference Network for Lightweight Image Super-Resolution
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.2020.3042298openalex-snapshot
A Progressive Fusion Generative Adversarial Network for Realistic and Consistent Video Super-Resolution
inferredcites →https://doi.org/10.1145/3414838openalex-snapshot
Lightweight Single Image Super-resolution with Dense Connection Distillation Network
inferredcites →https://doi.org/10.1145/3659100openalex-snapshot
A Systematic Survey of Deep Learning-Based Single-Image Super-Resolution
inferredcites →https://doi.org/10.48550/arxiv.1904.02358openalex-snapshot
Lightweight Image Super-Resolution with Adaptive Weighted Learning Network
inferredcites →https://doi.org/10.48550/arxiv.2105.10422openalex-snapshot
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s00530-024-01652-xopenalex-snapshot
Inception-like Large Kernel network for lightweight image super-resolution
inferred← citeshttps://doi.org/10.1016/j.cviu.2024.104178openalex-snapshot
An efficient feature reuse distillation network for lightweight image super-resolution
inferred← citeshttps://doi.org/10.1016/j.jvcir.2023.103889openalex-snapshot
Multi-scale convolutional attention network for lightweight image super-resolution
inferred← citeshttps://doi.org/10.1016/j.jvcir.2024.104097openalex-snapshot
Dual contrastive attention-guided deformable convolutional network for single image super-resolution
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112274openalex-snapshot
Asymmetric convolutional modulation network for efficient image super-resolution
inferred← citeshttps://doi.org/10.1049/cit2.12297openalex-snapshot
Image super‐resolution via dynamic network
inferred← citeshttps://doi.org/10.1109/access.2023.3260159openalex-snapshot
F2SRGAN: A Lightweight Approach Boosting Perceptual Quality in Single Image Super-Resolution via a Revised Fast Fourier Convolution
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3336524openalex-snapshot
Lightweight Remote-Sensing Image Super-Resolution via Attention-Based Multilevel Feature Fusion Network
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3578879openalex-snapshot
Efficient Mamba-Attention Network for Remote Sensing Image Super-Resolution
inferred← citeshttps://doi.org/10.1145/3651309openalex-snapshot
Enhanced Video Super-Resolution Network towards Compressed Data
inferred← citeshttps://doi.org/10.1145/3714471openalex-snapshot
Tropical Cyclone Image Super-Resolution via Multimodality Fusion
inferred← citeshttps://doi.org/10.1155/2024/3255233openalex-snapshot
A Multi-Attention Feature Distillation Neural Network for Lightweight Single Image Super-Resolution
inferred← citeshttps://doi.org/10.3390/math12172736openalex-snapshot
A Multi-Branch Feature Extraction Residual Network for Lightweight Image Super-Resolution
inferred← citeshttps://doi.org/10.3390/sym17030431openalex-snapshot
MSWSR: A Lightweight Multi-Scale Feature Selection Network for Single-Image Super-Resolution Methods
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