Abstract: Object detection is a foundation process in computer vision having widespread applications in autonomous driving, medical diagnostics and security monitoring. Recent advancements and ...
Abstract: Road crack detection is crucial for infrastructure maintenance and traffic safety, yet existing methods struggle to balance detection accuracy and computational efficiency due to complex ...
From "Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection", Proc. ACM Int. Workshop on Multimedia AI against Disinformation (MAD’24) at the ACM Int. Conf. on Multimedia ...
Abstract: Railway infrastructure safety remains a critical concern in modern transportation systems. This paper presents a novel approach to enhancing rail way safety through the integration of ...
Abstract: Addressing the challenge of surface defect detection in load-bearing rails within auto-motive assembly workshops, which operate in complex environments and under long-term service, this ...
Abstract: Detecting defects in railway tracks, particularly small cracks or gaps, is traditionally a labor-intensive task. By leveraging machine learning, this process can be automated and accelerated ...
Abstract: In the past, the rapid development of transportation infrastructure brought about a boom in transportation. Nowadays, a large number of transportation infrastructure has begun to enter the ...
Abstract: Every single photon carries information in position, time, etc. Single-photon devices are now demonstrated and available in several CMOS technologies, but the needed circuits and ...
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