CarMaker is a widely used simulation testing software, yet there is currently no scenario library available for standard regulations in the market. This article presents the development of a scene library co.version s...
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With the rapid development of intelligentco.nected Vehicle (ICV) technology, data exchange between vehicles has beco.e increasingly frequent, which greatly improves the demand for information security technology in v...
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intelligentco.nected vehicles (ICVs) refer to a new vehicle type that utilizes advanced information and co.munication technology to enable information exchange among vehicles, between vehicles and roads, and between ...
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In order to solve the stability problem of intelligent vehicles, which is that high-adhesion roads are prone to rollover accidents and low-adhesion roads are prone to side-slip accidents under sharp turning co.ditions...
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The rapid development of the Internet has led to the widespread dissemination of manipulated facial images, significantly impacting people's daily lives. With the co.tinuous advancement of Deepfake technology, the...
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The rapid development of the Internet has led to the widespread dissemination of manipulated facial images, significantly impacting people's daily lives. With the co.tinuous advancement of Deepfake technology, the generated co.nterfeit facial images have beco.e increasingly challenging to distinguish. There is an urgent need for a more robust and co.vincing detection method. Current detection methods mainly operate in the spatial domain and transform the spatial domain into other domains for analysis. With the emergence of transformers, some researchers have also co.bined traditional co.volutional networks with transformers for detection. This paper explores the artifacts left by Deepfakes in various domains and, based on this exploration, proposes a detection method that utilizes the steganalysis rich model to extract high-frequency noise to co.plement spatial features. We have designed two main modules to fully leverage the interaction between these two aspects based on traditional co.volutional neural networks. The first is the multi-scale mixed feature attention module, which introduces artifacts from high-frequency noise into spatial textures, thereby enhancing the model's learning of spatial texture features. The seco.d is the multi-scale channel attention module, which reduces the impact of background noise by weighting the features. Our proposed method was experimentally evaluated on mainstream datasets, and a significant amount of experimental results demonstrate the effectiveness of our approach in detecting Deepfake forged faces, outperforming the majority of existing methods.
An improved single-stage object detection algorithm SSD method is proposed. The feature extraction layer is modified to MobileNetV2, and the model is co.pressed to reduce the number of parameters and calculation. It i...
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Metal fittings equipment is widely used in the power grid system. In order to improve the speed and accuracy of personnel's inspection of transmission lines, and to widely detect arc burns of various metal fitting...
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para>In this paper, aiming at the problem that it is difficult to extract robust features in the existing technology and the low accuracy of defect reco.nition of co.necting fittings caused by the lack of co.relati...
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A high-performance unmanned helico.ter based transmission line inspection system is proposed to address the issues of low single operation efficiency, low degree of autonomy, and single operation mode in the current m...
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With the prevalence of Large Language Models (LLMs), recent studies have shifted paradigms and leveraged LLMs to tackle the challenging task of Text-to-SQL. Because of the co.plexity of real world databases, previous ...
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