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Found 9 papers, 7 papers with code
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift
Denoising and demosaicking are two essential steps to reconstruct a clean full-color image from the raw data.
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution
The semantics of the text are firstly extracted by a text recognition module as text prior information.
Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study
Based on our observations, we attribute the scarce attention on Chinese text recognition to the lack of reasonable dataset construction standards, unified evaluation methods, and results of the existing baselines.
Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution
However, the recognition of low-resolution scene text images remains a challenge.
Text Prior Guided Scene Text Image Super-resolution
Our experiments on the benchmark TextZoom dataset show that TPGSR can not only effectively improve the visual quality of scene text images, but also significantly improve the text recognition accuracy over existing STISR methods.
RRPN++: Guidance Towards More Accurate Scene Text Detection
In inference stage, the detection branch outputs the proposal refinement and the recognition branch predicts the transcript of the refined text region.
Question Guided Modular Routing Networks for Visual Question Answering
Particularly, The QGMRN is composed of visual, textual and routing network.
VOCABULARY-INFORMED VISUAL FEATURE AUGMENTATION FOR ONE-SHOT LEARNING
Besides directly augmenting image features, we transform the image features to semantic space using the encoder and perform the data augmentation.
Arbitrary-Oriented Scene Text Detection via Rotation Proposals
This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images.
