问题描述
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
clone_loss_1
推荐答案
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
这篇关于TensorFlow对象检测API-对象检测API中的损失意味着什么?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！