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Found 5 papers, 2 papers with code
URLBERT:A Contrastive and Adversarial Pre-trained Model for URL Classification
To address this gap, this paper introduces URLBERT, the first pre-trained representation learning model applied to a variety of URL classification or detection tasks.
Multi-objective Optimal Roadside Units Deployment in Urban Vehicular Networks
Therefore, the deployment of RSUs is of utmost importance in ensuring the quality of communication services.
Neural Abstract Style Transfer for Chinese Traditional Painting
In experiments, the proposed method shows more appealing stylized results in transferring the style of Chinese traditional painting than state-of-the-art neural style transfer methods.
Auto-Context R-CNN
Although surrounding context is well-known for its importance in object detection, it has yet been integrated in R-CNNs in a flexible and effective way.
Object Detection via Aspect Ratio and Context Aware Region-based Convolutional Networks
This paper presents a method of integrating a mixture of object models and region-based convolutional networks for accurate object detection.
