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Found 9 papers, 3 papers with code
Logical Bias Learning for Object Relation Prediction
Scene graph generation (SGG) aims to automatically map an image into a semantic structural graph for better scene understanding.
Few shot font generation via transferring similarity guided global style and quantization local style
To better capture the local styles, a cross-attention-based style transfer module is adopted to transfer the styles of reference glyphs to the components, where the components are self-learned discrete latent codes through vector quantization without manual definition.
FETNet: Feature Erasing and Transferring Network for Scene Text Removal
To tackle these problems, we propose a novel Feature Erasing and Transferring (FET) mechanism to reconfigure the encoded features for STR in this paper.
PSSTRNet: Progressive Segmentation-guided Scene Text Removal Network
In each iteration, the original image, previous text removal result, and text mask are input to the network to extract the rest part of the text segments and cleaner text removal result.
The Economic Effect of Gaining a New Qualification Later in Life
Pursuing educational qualifications later in life is an increasingly common phenomenon within OECD countries since technological change and automation continues to drive the evolution of skills needed in many professions.
Using Machine Learning to Create an Early Warning System for Welfare Recipients
Using high-quality nation-wide social security data combined with machine learning tools, we develop predictive models of income support receipt intensities for any payment enrolee in the Australian social security system between 2014 and 2018.
Scene Text Detection with Selected Anchor
Object proposal technique with dense anchoring scheme for scene text detection were applied frequently to achieve high recall.
Scene Text Magnifier
In this paper, we design the scene text magnifier through interacted four CNN-based networks: character erasing, character extraction, character magnify, and image synthesis.
Scene Text Eraser
That proves the effectiveness of proposed method for erasing the text in natural scene images.
