Object recognition is a key research area in the field of image processing and computer
vision, which recognizes the object in an image and provides a proper label. In the paper …

Melanoma is one of the most dangerous types of skin cancer that its early detection can
save patients' lives. Computer‐aided methods can be used for this early detection with …

This survey documents representation approaches for classification across different
modalities, from purely content-based methods to techniques utilizing external sources of …

In the era of massive data production through the internet and social media, the volume of
images generated is immense. Storing and retrieving relevant images efficiently pose …

Recently, most image classification studies solicit the intervention of convolutional neural
networks because these DL‐based classification methods generally outperform other …

Human action recognition has become one of the main topics in the computer vision field
due to its high demand and competitiveness in real-world applications. The main goals of …

Object segmentation and recognition is an imperative area of computer vision and machine
learning that identifies and separates individual objects within an image or video and …

A common pain point for physical retail stores is live inventory monitoring, ie, knowing how
many items of each product are left on the shelves. About 4% of sales are lost due to an …

Automatic clothing classification with deep learning models becomes an inevitable trend in
the era of artificial intelligence. Clothing classification methods using conventional …

The characterisation of materials is a prerequisite for evaluating and predicting the stability
of mining waste dumps. Over the past three decades, the BHP Mitsubishi Alliance Coal …