Attention in Machine Learning allows a model to selectively up-weight informative parts of
an input in relation to others. The Vision Transformer (ViT) is entirely based on attention …

Traditional local image descriptors such as SIFT and SURF are based on processings
similar to those that take place in the early visual cortex. Nowadays, convolutional neural …

Now diagnostic methods with the help of machine learning have been able to help doctors
in this field. One of the most important of these methods is deep learning, which has gotten …

Smart cities and 6G are technological areas that have the potential to transform the way we
live and work in the years to come. Until this transformation comes into place, there is the …

Due to the vast advancement in the field of computer vision technology, object detection and
recognition systems gained significant interest of researchers. Although there are number of …

Traditional local image descriptors such as SIFT and SURF are based on processings
similar to those that take place in the early visual cortex. Nowadays, convolutional neural …

In recent years, the progress of computerised vision technology has resulted in the
recognition of objects in images and video sequences regaining a high level of attention …

Feature detection and description is a significant process in several computer vision tasks
such as object recognition, detection, image classification and registration. The challenge …