DocUNet: Document Image Unwarping via a Stacked U-Net

Capturing document images is a common way for digitizing and recording physical documents due to the ubiquitousness of mobile cameras. To make text recognition easier, it is often desirable to digitally flatten a document image when the physical document sheet is folded or curved... (read more)

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Datasets


  Add Datasets introduced or used in this paper

Results from the Paper


Ranked #3 on Local Distortion on DocUNet (using extra training data)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
BENCHMARK
MS-SSIM DocUNet DocUNet MS-SSIM 0.41 # 4
SSIM DocUNet DocUNet SSIM 0.4083 # 4
Local Distortion DocUNet DocUNet LD 14.08 # 3

Methods used in the Paper


METHOD TYPE
Concatenated Skip Connection
Skip Connections
ReLU
Activation Functions
Max Pooling
Pooling Operations
Convolution
Convolutions
U-Net
Semantic Segmentation Models