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DEEP LEARNING BASED OBJECT DETECTION MODEL TRAINING METHOD AND AN OBJECT DETECTION APPARATUS TO EXECUTE THE OBJECT DETECTION MODEL
DEEP LEARNING BASED OBJECT DETECTION MODEL TRAINING METHOD AND AN OBJECT DETECTION APPARATUS TO EXECUTE THE OBJECT DETECTION MODEL
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机译：基于深度学习的对象检测模型训练方法和对象检测装置来执行对象检测模型
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摘要
Disclosed are a method for learning an object detection model and an object detection apparatus for executing the object detection model. A method of learning an object detection model includes: dividing a target image to be learned into a plurality of cells having a predetermined size; generating an encoding feature map having different resolutions corresponding to each of the plurality of convolutional layers from the target image through a plurality of convolution layers included in the object detection module; The low-resolution encoding feature map and the first convolutional layer generated by the first convolutional layer located at the last among the plurality of convolutional layers through a single deconvolution layer included in the object detection module generating a decoding feature map by fusing a high-resolution encoding feature map generated by a second convolutional layer located at a previous stage of the solution; and detecting predicted object information in each of the plurality of cells by using the generated decoding feature map through an object detection layer included in the object detection module, wherein the single deconvolution layer is an accommodation region A convolutional layer may be added to increase the (receptive field).
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