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Found 5 papers, 3 papers with code
TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-Resolution
Moreover, our proposed MRD module is plug-and-play that effectively sharpens the text edges produced by SOTA methods.
DocDiff: Document Enhancement via Residual Diffusion Models
Removing degradation from document images not only improves their visual quality and readability, but also enhances the performance of numerous automated document analysis and recognition tasks.
GDB: Gated convolutions-based Document Binarization
However, existing methods can not extract stroke edges finely, mainly due to the fair-treatment nature of vanilla convolutions and the extraction of stroke edges without adequate supervision by boundary-related information.
Ranked #1 on
Binarization
on H-DIBCO 2014
SAT: Size-Aware Transformer for 3D Point Cloud Semantic Segmentation
In this paper, we propose the Size-Aware Transformer (SAT) that can tailor effective receptive fields for objects of different sizes.
Ranked #10 on
Semantic Segmentation
on S3DIS Area5
Transmission Dynamics of COVID-19 Pandemic Non-pharmaceutical Interventions and Vaccination
By simulating the relation ships of the basic reproduction number $\mathscr{R}_{0}$, the vaccination rate and the efficiency of vaccine, we find that it is impossible to achieve the herd immunity without NPIs when the efficiency of vaccine is lower than $76. 9\%$.
