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Found 4 papers, 1 papers with code
Road Obstacle Detection based on Unknown Objectness Scores
However, when applied to images with many unknowns and complex components, such as driving scenes, these methods often exhibit unstable performance.
Scene Text Image Super-resolution based on Text-conditional Diffusion Models
Utilizing this capability, we propose a novel framework for synthesizing LR-HR paired text image datasets.
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive Learning
Autonomous driving demands the highest level of safety, for which even unimaginably rare driving scenes have to be collected in training data to improve the recognition accuracy for specific scenes.
Approximate matrix completion based on cavity method
In order to solve large matrix completion problems with practical computational cost, an approximate approach based on matrix factorization has been widely used.
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