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https://doi.org/10.2139/ssrn.4658139

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inferredcites →https://doi.org/10.1007/978-3-030-00889-5_1openalex-extracted
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-58595-2_30openalex-extracted
Learning Enriched Features for Real Image Restoration and Enhancement
inferredcites →https://doi.org/10.1007/978-3-031-20053-3_17openalex-extracted
KVT: k-NN Attention for Boosting Vision Transformers
inferredcites →https://doi.org/10.1007/978-3-031-25063-7_42openalex-extracted
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-extracted
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/s11042-022-12087-9openalex-extracted
Low light enhancement algorithm for color images using intuitionistic fuzzy sets with histogram equalization
inferredcites →https://doi.org/10.1007/s13735-017-0141-zopenalex-extracted
A review of semantic segmentation using deep neural networks
inferredcites →https://doi.org/10.1016/j.cviu.2018.10.010openalex-extracted
Getting to know low-light images with the Exclusively Dark dataset
inferredcites →https://doi.org/10.1016/j.infrared.2023.104722openalex-extracted
HINRDNet: A half instance normalization residual dense network for passive millimetre wave image restoration
inferredcites →https://doi.org/10.1016/j.patcog.2016.06.008openalex-extracted
LLNet: A deep autoencoder approach to natural low-light image enhancement
inferredcites →https://doi.org/10.1109/comst.2016.2571730openalex-extracted
Ultra-Dense Networks: A Survey
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-extracted
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00068openalex-extracted
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
inferredcites →https://doi.org/10.1109/cvpr.2018.00262openalex-extracted
Residual Dense Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2019.00701openalex-extracted
Underexposed Photo Enhancement Using Deep Illumination Estimation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00185openalex-extracted
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00313openalex-extracted
From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00837openalex-extracted
Multi-Scale Progressive Fusion Network for Single Image Deraining
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01284openalex-extracted
DeepLPF: Deep Local Parametric Filters for Image Enhancement
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01042openalex-extracted
Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01212openalex-extracted
Pre-Trained Image Processing Transformer
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00146openalex-extracted
EDTER: Edge Detection with Transformer
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00564openalex-extracted
Restormer: Efficient Transformer for High-Resolution Image Restoration
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00715openalex-extracted
NFormer: Robust Person Re-identification with Neighbor Transformer
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01716openalex-extracted
Uformer: A General U-Shaped Transformer for Image Restoration
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01719openalex-extracted
SNR-Aware Low-light Image Enhancement
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01819openalex-extracted
AdaFace: Quality Adaptive Margin for Face Recognition
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00297openalex-extracted
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00571openalex-extracted
Learning A Sparse Transformer Network for Effective Image Deraining
inferredcites →https://doi.org/10.1109/cvprw.2017.156openalex-extracted
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
inferredcites →https://doi.org/10.1109/dictap.2015.7113176openalex-extracted
Enhanced dynamic quadrant histogram equalization plateau limit for image contrast enhancement
inferredcites →https://doi.org/10.1109/iccv48922.2021.00061openalex-extracted
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
inferredcites →https://doi.org/10.1109/iccv48922.2021.01366openalex-extracted
Focal Frequency Loss for Image Reconstruction and Synthesis
inferredcites →https://doi.org/10.1109/iccvw54120.2021.00210openalex-extracted
SwinIR: Image Restoration Using Swin Transformer
inferredcites →https://doi.org/10.1109/icip.2018.8451696openalex-extracted
Dense Bynet: Residual Dense Network for Image Super Resolution
inferredcites →https://doi.org/10.1109/icip46576.2022.9897503openalex-extracted
Half Wavelet Attention on M-Net+ for Low-Light Image Enhancement
inferredcites →https://doi.org/10.1109/jstars.2020.2982614openalex-extracted
Deep Multilayer Fusion Dense Network for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/jstars.2022.3171586openalex-extracted
Hybrid Dense Network With Attention Mechanism for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-extracted
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1109/tip.2021.3050850openalex-extracted
Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement
inferredcites →https://doi.org/10.1109/tip.2021.3051462openalex-extracted
EnlightenGAN: Deep Light Enhancement Without Paired Supervision
inferredcites →https://doi.org/10.1109/tip.2021.3062184openalex-extracted
Band Representation-Based Semi-Supervised Low-Light Image Enhancement: Bridging the Gap Between Signal Fidelity and Perceptual Quality
inferredcites →https://doi.org/10.1109/tits.2020.3023541openalex-extracted
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
inferredcites →https://doi.org/10.1109/tpami.2020.2968521openalex-extracted
Residual Dense Network for Image Restoration
inferredcites →https://doi.org/10.1109/tpami.2020.3026740openalex-extracted
Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time
inferredcites →https://doi.org/10.1109/tpami.2021.3063604openalex-extracted
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
inferredcites →https://doi.org/10.1109/wacvw54805.2022.00005openalex-extracted
Task Adaptive Network for Image Restoration with Combined Degradation Factors
inferredcites →https://doi.org/10.1117/1.1636183openalex-extracted
Retinex processing for automatic image enhancement
inferredcites →https://doi.org/10.1145/3394171.3413820openalex-extracted
DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal
inferredcites →https://doi.org/10.1145/3422622openalex-extracted
Generative adversarial networks
inferredcites →https://doi.org/10.1145/3503250openalex-extracted
NeRF
inferredcites →https://doi.org/10.1609/aaai.v34i07.6790openalex-extracted
Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software
inferredcites →https://doi.org/10.1609/aaai.v36i1.19992openalex-extracted
Degrade Is Upgrade: Learning Degradation for Low-Light Image Enhancement
inferredcites →https://doi.org/10.1609/aaai.v36i3.20162openalex-extracted
Low-Light Image Enhancement with Normalizing Flow
inferredcites →https://doi.org/10.3390/s22218244openalex-extracted
FDMLNet: A Frequency-Division and Multiscale Learning Network for Enhancing Low-Light Image
inferredcites →https://doi.org/10.4208/cicp.oa-2020-0085openalex-extracted
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-extracted
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1711.05101openalex-extracted
Decoupled Weight Decay Regularization
inferredcites →https://doi.org/10.48550/arxiv.1801.03924openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1912.07833openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2001.06826openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2003.06792openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2003.08934openalex-extracted
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
inferredcites →https://doi.org/10.48550/arxiv.2003.10985openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2006.10739openalex-extracted
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-extracted
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
inferredcites →https://doi.org/10.48550/arxiv.2012.05609openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2012.12821openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2105.15203openalex-extracted
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
inferredcites →https://doi.org/10.48550/arxiv.2106.03106openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2111.09881openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2204.09331openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2206.02777openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2210.01427openalex-extracted
Accurate Image Restoration with Attention Retractable Transformer
inferredcites →https://doi.org/10.48550/arxiv.2303.06705openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2303.11950openalex-extracted
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