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METHOD AND SYSTEM OF IMAGE BASED ANOMALY LOCALIZATION FOR VEHICLES THROUGH GENERATIVE CONTEXTUALIZED ADVERSARIAL NETWORK
METHOD AND SYSTEM OF IMAGE BASED ANOMALY LOCALIZATION FOR VEHICLES THROUGH GENERATIVE CONTEXTUALIZED ADVERSARIAL NETWORK
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机译:基于生成式情境化对抗网络的车辆图像异常定位方法与系统
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摘要
The present invention provides an anomaly detection method and apparatus based on a neural network which can be trained on undamaged normal vehicle images and able to detect unknown/unseen vehicle damages of stochastic types and extents from images which are taken in various contexts. The provided method and apparatus are implemented with functional units which are trained to perform the anomaly detection under a GCAN model with a training dataset containing images of undamaged vehicles, intact-vehicle frame images and augmented vehicle frame images of the vehicles.
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