Introduction During the last few years, a heightened interest has been shown in classifying
scene images depicting diverse robotic environments. The surge in interest can be attributed …

Latest advancements in vision technology offer an evident impact on multi-object recognition
and scene understanding. Such sceneunderstanding task is a demanding part of several …

Improving the detection accuracy and speed is the prerequisite of multi-object recognition in
the complex traffic environment. Despite object detection has made significant advances …

Advances in technology can provide a lot of support for visually impaired (VI) persons. In
particular, computer vision and machine learning can provide solutions for object detection …

Multi-category object detection in aerial images is an important task for many applications
such as surveillance, tracking or search and rescue tasks. In recent years, deep learning …

Recent strides in visionary technologies have profoundly impacted the domain of multi-
object recognition, serving as a linchpin in transformative applications such as augmented …

With the rise in popularity of autonomous driving, the speed and accuracy of surrounding
objects' detection by in-vehicle sensing technology is becoming increasingly important for …

An object recognition and localization is a primary issue that is harder than a classification of
an image even with precise object location and their annotations available at the time of …

This study presents a method for enhancing the accuracy of object detection in industrial
automation applications using ResNet18-based image segmentation. The objective is to …

Image semantic segmentation has always been a research hotspot in the field of robots. Its
purpose is to assign different semantic category labels to objects by segmenting different …