Many strategies have been proposed for underwater image enhancement. However, they
are often incompatible with underwater remotely operated vehicle platforms with low …

Biometric-based authentication is widely deployed on multimedia systems currently;
however, biometric systems are vulnerable to image-level attacks for impersonation …

Fecal trait examinations are critical in the clinical diagnosis of digestive diseases, and they
can effectively reveal various aspects regarding the health of the digestive system. An …

Smartphone based human activity monitoring and recognition play an important role in
several medical applications, such as eldercare, diabetic patient monitoring, post-trauma …

Cancellable biometrics have been enrolled in several applications such as cloud computing
and cyber security. This makes researchers investigate their approaches in this field. This …

Instance segmentation is typically based on an object detection framework. Semantic
segmentation is conducted on the bounding boxes that are returned by detectors. NMS (non …

Semantic segmentation is a significant task in the field of Remote Sensing and Computer
Vision. DeepLabV3+ is a convolutional neural network architecture that excels in the task of …

Crowd counting based on density maps is generally regarded as a regression task. Deep
learning is used to learn the mapping between image content and crowd density distribution …

This paper focuses on the instance segmentation task. The purpose of instance
segmentation is to jointly detect, classify and segment individual instances in images, so it is …

To provide the necessary security and privacy privileges for registered users of biometric
systems, a novel template protection method for generating cancelable palmprint features …