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An Improved U-Net for Watermark Removal
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/int.22742openalex-snapshot
Deep learning‐based robust medical image watermarking exploiting DCT and Harris hawks optimization
inferredcites →https://doi.org/10.1007/978-1-4684-8574-5openalex-snapshot
Least Absolute Deviations: Theory, Applications and Algorithms
inferredcites →https://doi.org/10.1007/978-3-030-01249-6_10openalex-snapshot
DDRNet: Depth Map Denoising and Refinement for Consumer Depth Cameras Using Cascaded CNNs
inferredcites →https://doi.org/10.1007/978-3-030-03338-5_3openalex-snapshot
Large-Scale Visible Watermark Detection and Removal with Deep Convolutional Networks
inferredcites →https://doi.org/10.1007/978-3-030-34120-6_28openalex-snapshot
Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-59050-9_51openalex-snapshot
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
inferredcites →https://doi.org/10.1007/s00521-019-04434-zopenalex-snapshot
Adversarial frontier stitching for remote neural network watermarking
inferredcites →https://doi.org/10.1007/s10032-009-0080-1openalex-snapshot
Watermark location via back-lighting and recto removal
inferredcites →https://doi.org/10.1007/s10462-020-09825-6openalex-snapshot
A survey of the recent architectures of deep convolutional neural networks
inferredcites →https://doi.org/10.1007/s11042-020-09555-5openalex-snapshot
A robust hybrid digital watermarking technique against a powerful CNN-based adversarial attack
inferredcites →https://doi.org/10.1007/s11042-020-10035-zopenalex-snapshot
PSNR vs SSIM: imperceptibility quality assessment for image steganography
inferredcites →https://doi.org/10.1007/s11042-020-10498-0openalex-snapshot
Water chaotic fruit fly optimization-based deep convolutional neural network for image watermarking using wavelet transform
inferredcites →https://doi.org/10.1007/s11227-017-2177-5openalex-snapshot
Theoretical peak FLOPS per instruction set: a tutorial
inferredcites →https://doi.org/10.1016/j.eswa.2016.06.015openalex-snapshot
Improving digital image watermarking by means of optimal channel selection
inferredcites →https://doi.org/10.1016/j.ijleo.2020.164562openalex-snapshot
A robust blind color image watermarking based on Fourier transform domain
inferredcites →https://doi.org/10.1016/j.neunet.2019.12.024openalex-snapshot
Attention-guided CNN for image denoising
inferredcites →https://doi.org/10.1016/j.neunet.2022.06.009openalex-snapshot
Image super-resolution with an enhanced group convolutional neural network
inferredcites →https://doi.org/10.1016/j.patrec.2016.12.010openalex-snapshot
Multipurpose image watermarking in the domain of DWT based on SVD and ABC
inferredcites →https://doi.org/10.1017/s0266466600004394openalex-snapshot
Asymptotics for Least Absolute Deviation Regression Estimators
inferredcites →https://doi.org/10.1049/cit2.12021openalex-snapshot
Relating brain structure images to personality characteristics using 3D convolution neural network
inferredcites →https://doi.org/10.1049/cit2.12061openalex-snapshot
Nuclear atypia grading in breast cancer histopathological images based on CNN feature extraction and LSTM classification
inferredcites →https://doi.org/10.1049/cit2.12110openalex-snapshot
A robust deformed convolutional neural network (CNN) for image denoising
inferredcites →https://doi.org/10.1049/iet-ifs.2008.0055openalex-snapshot
New watermark-removal method based on Eigen-image energy
inferredcites →https://doi.org/10.1049/iet-ipr.2014.0965openalex-snapshot
Block‐based discrete wavelet transform‐singular value decomposition image watermarking scheme using human visual system characteristics
inferredcites →https://doi.org/10.1109/access.2018.2818882openalex-snapshot
A Cascaded Convolutional Neural Network for Single Image Dehazing
inferredcites →https://doi.org/10.1109/compsac48688.2020.00048openalex-snapshot
An Improved Design Scheme for Perceptual Hashing Based on CNN for Digital Watermarking
inferredcites →https://doi.org/10.1109/cvpr.2012.6247707openalex-snapshot
Identigram/watermark removal using cross-channel correlation
inferredcites →https://doi.org/10.1109/cvpr.2016.376openalex-snapshot
Joint Training of Cascaded CNN for Face Detection
inferredcites →https://doi.org/10.1109/cvprw56347.2022.00269openalex-snapshot
Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognition
inferredcites →https://doi.org/10.1109/iccv.2019.01070openalex-snapshot
Recursive Cascaded Networks for Unsupervised Medical Image Registration
inferredcites →https://doi.org/10.1109/icip.1996.560421openalex-snapshot
Transparent robust image watermarking
inferredcites →https://doi.org/10.1109/icip.1998.723526openalex-snapshot
A public key watermark for image verification and authentication
inferredcites →https://doi.org/10.1109/icme52920.2022.9859725openalex-snapshot
Wavelet-Based CNN for Robust and High-Capacity Image Watermarking
inferredcites →https://doi.org/10.1109/icpr.2010.579openalex-snapshot
Image Quality Metrics: PSNR vs. SSIM
inferredcites →https://doi.org/10.1109/iscc50000.2020.9219587openalex-snapshot
Reluplex made more practical: Leaky ReLU
inferredcites →https://doi.org/10.1109/tcsvt.2021.3138795openalex-snapshot
Concealed Attack for Robust Watermarking Based on Generative Model and Perceptual Loss
inferredcites →https://doi.org/10.1109/tcsvt.2022.3188524openalex-snapshot
RD-IWAN: Residual Dense Based Imperceptible Watermark Attack Network
inferredcites →https://doi.org/10.1109/tgrs.2019.2899129openalex-snapshot
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/tip.2017.2662206openalex-snapshot
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
inferredcites →https://doi.org/10.1109/tip.2018.2839891openalex-snapshot
FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising
inferredcites →https://doi.org/10.1109/tip.2020.3002478openalex-snapshot
End-to-End Blind Image Quality Prediction With Cascaded Deep Neural Network
inferredcites →https://doi.org/10.1109/tip.2021.3098246openalex-snapshot
Cascaded Convolutional Neural Network-Based Hyperspectral Image Resolution Enhancement via an Auxiliary Panchromatic Image
inferredcites →https://doi.org/10.1109/tmm.2019.2907475openalex-snapshot
Enhancing Image Watermarking With Adaptive Embedding Parameter and PSNR Guarantee
inferredcites →https://doi.org/10.1109/tmm.2020.2999182openalex-snapshot
Coarse-to-Fine CNN for Image Super-Resolution
inferredcites →https://doi.org/10.1109/wacv48630.2021.00373openalex-snapshot
WDNet: Watermark-Decomposition Network for Visible Watermark Removal
inferredcites →https://doi.org/10.1109/wci.2015.7495522openalex-snapshot
A robust digital image watermarking technique using auto encoder based convolutional neural networks
inferredcites →https://doi.org/10.1117/1.2952843openalex-snapshot
Removable visible image watermarking algorithm in the discrete cosine transform domain
inferredcites →https://doi.org/10.1145/3433210.3453079openalex-snapshot
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data
inferredcites →https://doi.org/10.1145/3474085.3475592openalex-snapshot
Visible Watermark Removal via Self-calibrated Localization and Background Refinement
inferredcites →https://doi.org/10.1145/3491396.3506498openalex-snapshot
Visible Watermark Removal Based on Dual-input Network
inferredcites →https://doi.org/10.1609/aaai.v35i2.16205openalex-snapshot
Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal
inferredcites →https://doi.org/10.3390/app10196854openalex-snapshot
Convolutional Neural Network-Based Digital Image Watermarking Adaptive to the Resolution of Image and Watermark
inferredcites →https://doi.org/10.36548/jitdw.2021.2.005openalex-snapshot
Light Weight CNN based Robust Image Watermarking Scheme for Security
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s11042-024-19420-4openalex-snapshot
Enhanced diffusion-based model for rubber stamp removal
inferred← citeshttps://doi.org/10.1007/s12530-026-09880-4openalex-snapshot
Watermark removal in dermatological images using luminance-guided autoencoders for improved classification
inferred← citeshttps://doi.org/10.1016/j.array.2026.100855openalex-snapshot
Stamp removal from real documents: A diffusion-based approach with EA-RMSE evaluation
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109738openalex-snapshot
An enhanced diffusion-based network for efficient stamp removal
inferred← citeshttps://doi.org/10.1016/j.dsp.2023.104358openalex-snapshot
Generative adversarial networks for rubber stamp extraction and removal
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106218openalex-snapshot
A self-supervised network for image denoising and watermark removal
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01173openalex-snapshot
Fine-grained Visible Watermark Removal
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3349678openalex-snapshot
Perceptive Self-Supervised Learning Network for Noisy Image Watermark Removal
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3375831openalex-snapshot
A Self-Supervised CNN for Image Watermark Removal
inferred← citeshttps://doi.org/10.1111/coin.70063openalex-snapshot
CCNet: A Cross‐Channel Enhanced CNN for Blind Image Denoising
inferred← citeshttps://doi.org/10.1111/coin.70072openalex-snapshot
Deep Learning for Visible Watermark Removal: A Survey
inferred← citeshttps://doi.org/10.1117/12.2690884openalex-snapshot
Visible watermarks inpainting using deep learning for multimedia application
inferred← citeshttps://doi.org/10.3390/electronics12041065openalex-snapshot
A Semi-Fragile, Inner-Outer Block-Based Watermarking Method Using Scrambling and Frequency Domain Algorithms
inferred← citeshttps://doi.org/10.3390/electronics13214306openalex-snapshot
Dynamic Black-Box Model Watermarking for Heterogeneous Federated Learning
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