Object detection is a well-known task in the field of computer vision, especially the small
target detection problem that has aroused great academic attention. In order to improve the …

Abstract Knowledge extraction through machine learning techniques has been successfully
applied in a large number of application domains. However, apart from the required …

Medical data widely exist in the hospital and personal life, usually across institutions and
regions. They have essential diagnostic value and therapeutic significance. The disclosure …

Object detection is a fundamental computer vision task that plays a crucial role in a wide
range of real-world applications. However, it is still a challenging task to detect the small size …

Abstract To deploy Convolutional Neural Networks (CNNs) on resource-limited devices,
binary CNNs with 1-bit activations and weights prove to be a promising approach …

Automatic traffic sign detection has great potential for intelligent vehicles. In recent years,
traffic sign detection has made significant progress with the rise of deep learning. Detecting …

Recent advancements in deep convolutional neural networks have significantly improved
the performance of saliency prediction. However, the manual configuration of the neural …

Network architecture search (NAS) has attracted much attention as an automatic design
technique of network architecture. In particular, multi-objective evolutionary algorithms …

Object detection is an important computer vision technique that has increasingly attracted
the attention of researchers in recent years. The literature to date in the field has introduced …

The evolutionary algorithm has become a major method for neural architecture search
recently. However, the fixed probability distribution employed by the traditional evolutionary …