Image Super-Resolution via Deep Recursive Residual Network
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- Type
- article
- Published
- 2017-07-01
- Cited by
- 2,214
- References
- 38
- OpenAlex
- https://openalex.org/W2747898905
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:21618854
Keywords
Benchmark (surveying), Residual, Computer science, Convolutional neural network, Deep learning
References
- Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Image Super-Resolution Using Deep Convolutional Networks
- Deep Networks for Image Super-Resolution with Sparse Prior
- Single image super-resolution from transformed self-exemplars
- Recurrent convolutional neural network for object recognition
- Fast and accurate image upscaling with super-resolution forests
- Very low resolution face recognition problem
- Sub‐pixel mapping of rural land cover objects from fine spatial resolution satellite sensor imagery using super‐resolution pixel‐swapping
- Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Learning Fast Approximations of Sparse Coding
- Image Super-Resolution Via Sparse Representation
- A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
- Self-tuned deep super resolution
- An information fidelity criterion for image quality assessment using natural scene statistics
Cited by
- End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks
- Spatial and Angular Resolution Enhancement of Light Fields Using Convolutional Neural Networks
- NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study
- Image guided depth enhancement via deep fusion and local linear regularizaron
- Can Maxout Units Downsize Restoration Networks? - Single Image Super-Resolution Using Lightweight CNN with Maxout Units
- How will Deep Learning Change Internet Video Delivery?
- Super-Resolution for Overhead Imagery Using DenseNets and Adversarial Learning
- Deep Image Prior
- Deep Sampling Networks
- Deep Image Smoothing based on Texture and Structure Guidance
- A Frequency Domain Neural Network for Fast Image Super-resolution
- Super-Resolution with Deep Adaptive Image Resampling
- Frame-Recurrent Video Super-Resolution
- Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images
- Super-resolution for biometrics: A comprehensive survey
- Denoising Prior Driven Deep Neural Network for Image Restoration
- Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST
- SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks
- Compressed Sensing MRI Using a Recursive Dilated Network
- Single Image Super-Resolution via Cascaded Multi-Scale Cross Network
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