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GENERATIVE ADVERSARIAL NETWORK MODELS FOR SMALL ROADWAY OBJECT DETECTION
GENERATIVE ADVERSARIAL NETWORK MODELS FOR SMALL ROADWAY OBJECT DETECTION
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机译:小巷对象检测的生成对抗网络模型
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摘要
Systems, methods, and non-transitory computer-readable media for detecting small objects in a roadway scene. A camera is coupled to a vehicle and configured to capture a roadway scene image. An electronic controller is coupled to the camera and configured to receive the roadway scene image from the camera. The electronic controller is also configured to generate a Generative Adversarial Network (GAN) model using the roadway scene image. The electronic controller is further configured to determine a distribution indicting how likely each location in the roadway scene image can contain a roadway object using the GAN model. The electronic controller is also configured to determine a plurality of locations in the roadway scene image by sampling the distribution. The electronic controller is further configured to detect the roadway object at one of the plurality of locations in the roadway scene images.
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