TensorFlow对象检测API-对象检测API中的损失意味着什么? [英] TensorFlow Object Detection API - what do the losses mean in the object detection api?

查看：102 发布时间：2020/9/5 19:14:01 api object tensorflow detection

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以下各项损失分别是什么意思? (在TensorFlow对象检测API中，同时训练基于FasterRCNN的模型)

What do each for the following losses mean? (in the TensorFlow Object detection API, while training FasterRCNN based models)

亏损/BoxClassifierLoss/classification_loss/mul_1

Loss/BoxClassifierLoss/classification_loss/mul_1

损失/BoxClassifierLoss/localization_loss/mul_1

Loss/BoxClassifierLoss/localization_loss/mul_1

损失/RPNLoss/localization_loss/mul_1

Loss/RPNLoss/localization_loss/mul_1

损失/RPNLoss/objectness_loss/mul_1

Loss/RPNLoss/objectness_loss/mul_1

clone_loss_1

区域提案网络的损失:

损失/RPNLoss/localization_loss/mul_1 :RPN的本地化损失或边界框回归器的损失

Loss/RPNLoss/localization_loss/mul_1: Localization Loss or the Loss of the Bounding Box regressor for the RPN

损失/RPNLoss/objectness_loss/mul_1 :分类器的丢失，该分类器是对边界框是感兴趣的对象还是背景进行分类

Loss/RPNLoss/objectness_loss/mul_1: Loss of the Classifier that classifies if a bounding box is an object of interest or background

最终分类器的损失:

损失/BoxClassifierLoss/classification_loss/mul_1 :将检测到的物体分为猫，狗，飞机等各种类别的损失

Loss/BoxClassifierLoss/classification_loss/mul_1: Loss for the classification of detected objects into various classes: Cat, Dog, Airplane etc

损失/BoxClassifierLoss/localization_loss/mul_1 :本地化损失或边界框回归器的损失

Loss/BoxClassifierLoss/localization_loss/mul_1: Localization Loss or the Loss of the Bounding Box regressor

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