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?

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以下每个损失是什么意思?(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)

损失/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

Region Proposal Network 的损失:

The losses for the Region Proposal Network:

Loss/RPNLoss/localization_loss/mul_1:定位损失或 RPN 边界框回归量的损失

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

Loss/RPNLoss/objectness_loss/mul_1:对边界框是感兴趣的对象还是背景进行分类的分类器的损失

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:

Loss/BoxClassifierLoss/classification_loss/mul_1:将检测到的物体分类为各种类别的损失:猫、狗、飞机等

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

Loss/BoxClassifierLoss/localization_loss/mul_1:定位损失或边界框回归量的损失

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

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