SOTAVerified

MS-SSIM

A MS-SSIM score helps to analyze how much a De-warping module has been able to de-warp a document image from its initial distorted view.

Papers

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Showing 61–70 of 179 papers

TitleStatusHype
Scalable Video Coding for Humans and Machines—0
Evaluating the Practicality of Learned Image Compression—0
Universal Learned Image Compression With Low Computational Cost—0
Q-LIC: Quantizing Learned Image Compression with Channel Splitting—0
PO-ELIC: Perception-Oriented Efficient Learned Image CodingCode1
Perceptual Learned Source-Channel Coding for High-Fidelity Image Semantic Transmission—0
Learning to Remove Clutter in Real-World GPR Images Using Hybrid Data—0
Improved Wavelets for Image Compression from Unitary Circuits—0
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression—0
ADC-Net: An Open-Source Deep Learning Network for Automated Dispersion Compensation in Optical Coherence TomographyCode1
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