Abstract: The importance of the loss function in object detection algorithms based on deep learning has grown significantly technological progress. The accuracy of object detection is significantly ...
This dataset contains 1028 images each 640x380 pixel. The dataset is split into 249 test and 779 training examples. Every image comes with an associated label .xml file in the pascal VOC format ...
Abstract: Bounding Box Regression (BBR) plays a critical role in object detection by refining the predicted location and size of objects to enhance model accuracy. This process involves adjusting the ...
1 School of Mechatronic Engineering, Mechanical Engineering, China University of Mining and Technology, Xuzhou, China. 2 Department of Manufacturing Engineering and Management, University of ...
Although the Vision Transformer architecture has become widely accepted as the standard for image classification tasks, using it for object detection in computer vision poses significant challenges.
The target tracking by space-based surveillance systems is difficult due to the long distances, weak energies, fast speeds, high false alarm rates, and low algorithmic efficiencies involved in the ...
† Laboratory of Advanced Materials, Department of Materials Science and Engineering, Tsinghua University, Beijing 100084, China ‡ School of Chemical Engineering and Technology, Tianjin University, ...
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