SOTAVerified

SSIM

Papers

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Showing 1176–1200 of 1336 papers

TitleStatusHype
High Accuracy Tumor Diagnoses and Benchmarking of Hematoxylin and Eosin Stained Prostate Core Biopsy Images Generated by Explainable Deep Neural Networks—0
Blind Deblurring using Deep Learning: A Survey—0
Deep Perceptual Compression—0
Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs—0
Measuring the Transferability of Adversarial Examples—0
Enhanced generative adversarial network for 3D brain MRI super-resolution—0
Unsupervised Domain Alignment to Mitigate Low Level Dataset Biases—0
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning—0
Deep Learning of Compressed Sensing Operators with Structural Similarity Loss—0
Learning Image and Video Compression through Spatial-Temporal Energy Compaction—0
Learning the Sampling Pattern for MRICode0
Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy—0
Dynamic PET cardiac and parametric image reconstruction: a fixed-point proximity gradient approach using patch-based DCT and tensor SVD regularization—0
Learning Deep Image Priors for Blind Image Denoising—0
Exemplar based underwater image enhancement augmented by Wavelet Corrected TransformsCode0
Enhanced Pix2pix Dehazing NetworkCode0
All-In-One Underwater Image Enhancement using Domain-Adversarial LearningCode0
Attention Based Image Compression Post-Processing Convolutional Neural Network—0
A Compression Objective and a Cycle Loss for Neural Image Compression—0
PEPSI++: Fast and Lightweight Network for Image Inpainting—0
Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN)—0
Medical image super-resolution method based on dense blended attention network—0
Adaptive Sample-space & Adaptive Probability coding: a neural-network based approach for compression—0
The Level Weighted Structural Similarity Loss: A Step Away from the MSE—0
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving AugmentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RectiNetSSIM0.55—Unverified
2RectiNet-v2SSIM0.51—Unverified
3DewarpNetSSIM0.49—Unverified
4DocUNetSSIM0.41—Unverified