Deep learning-based object detection in high resolution optical imagery is an active
research frontier. Dataset for object detection is fundamentally important to drive deep …

No-reference image quality assessment is one of the most demanding areas of image
analysis for many applications where the results of the analysis should be strongly …

Foreign object debris (FOD) on airport runways has always been a major problem in
maintaining airport security. Currently, there are two main challenges in FOD detection …

With the increasing coverage of video surveillance systems in modern society, demand for
using artificial intelligence algorithm to replace humans in violent behavior recognition has …

No-reference image quality assessment is crucial for evaluating perceptual quality across
diverse image-processing applications. Given the challenge of accruing mean opinion …

Fusing the pertinence of natural scene statistics-based methods and the ubiquity of
convolutional neural network-based methods, a no-reference image quality assessment …

Solving the problem of the blurred image degraded by natural environment or human
induced camera exposure has always been a challenge. The researches on blind …

The quality of training data and the performance of machine learning approaches using
those data stand in direct correlation: Even the best algorithms are not able to compensate …