In this paper, we review recent work in media forensics for digital images, video, audio
(specifically speech), and documents. For each data modality, we discuss synthesis and …

In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …

Deep convolutional neural networks, assisted by architectural design strategies, make
extensive use of data augmentation techniques and layers with a high number of feature …

Since its development, deep learning has been quickly incorporated into the field of
medicine and has had a profound impact. Since 2017, many studies applying deep learning …

The primary source of food is extracted from the plant. Take care of and maintain the plants
in real-time to enhance human survival. Diseases in plants can directly lead to a reduction in …

The profound impact of deep learning and particularly of convolutional neural networks
(CNNs) in automatic image processing has been decisive for the progress and evolution of …

The discriminative ability of image features plays a decisive role in content-based remote
sensing image retrieval (CBRSIR). However, the widely-used convolutional neural networks …

Mammography screening is one of the common techniques that help identify suspicious
masses' malignancy of breast cancer at an early stage. Yet, the early diagnosis of masses in …

In this paper, a novel quaternion-valued (QV) capsule module is designed to construct QV
capsule networks for image classification. The quaternion algebra is introduced into the …

Convolutional neural networks (CNNs) have achieved human-level performance in various
computer vision tasks, such as image classification, object detection & segmentation, etc …