In this paper, we present a comprehensive review of the imbalance problems in object
detection. To analyze the problems in a systematic manner, we introduce a problem-based …

Detecting and classifying vehicles as objects from images and videos is challenging in
appearance-based representation, yet plays a significant role in the substantial real-time …

The use of object detection algorithms has become extremely important in autonomous
vehicles. Object detection at high accuracy and a fast inference speed is essential for safe …

The use of object detection algorithms is becoming increasingly important in autonomous
vehicles, and object detection at high accuracy and a fast inference speed is essential for …

For autonomous driving systems, vehicle detection is an important part and challenging
problem due to the complex traffic scenes and poor computing resources. This paper …

Object detection is an important process in surveillance system to locate objects and it is
considered as major application in computer vision. The Convolution Neural Network (CNN) …

Despite recent advances, object detection in aerial images is still a challenging task.
Specific problems in aerial images makes the detection problem harder, such as small …

Timely and accurate identification of tea tree pests is critical for effective tea tree pest control.
We collected image data sets of eight common tea tree pests to accurately represent the true …

Object recognition is the technique of specifying the location of various objects in images or
videos. There exist numerous algorithms for the recognition of objects such as R-CNN, Fast …

In the computer vision, object detection has always been considered one of the most
challenging issues because it requires classifying and locating objects in the same scene …