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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 11–20 of 179 papers

TitleStatusHype
PO-ELIC: Perception-Oriented Efficient Learned Image CodingCode1
ADC-Net: An Open-Source Deep Learning Network for Automated Dispersion Compensation in Optical Coherence TomographyCode1
End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video CompressionCode1
Unified Signal Compression Using a GAN with Iterative Latent Representation OptimizationCode1
Interpolation variable rate image compressionCode1
Spatiotemporal Entropy Model is All You Need for Learned Video CompressionCode1
A Person Re-identification Data Augmentation Method with Adversarial Defense EffectCode1
CompressAI: a PyTorch library and evaluation platform for end-to-end compression researchCode1
Learning to Improve Image Compression without Changing the Standard DecoderCode1
A Gated and Bifurcated Stacked U-Net Module for Document Image DewarpingCode1
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