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FCOS论文及源码详解（七）

FCOS论文及源码详解（六）

FCOS论文及源码详解（五）

FCOS论文及源码详解（四）

FCOS论文及源码详解（三）

FCOS论文及源码详解（二）

FCOS论文及源码详解（一）FCOS论文Fully Convolutional One-Stage Object DetectorMulti-level Prediction with FPN for FCOSCenter-ness for FCOS参考文献FCOS论文以下内容摘自论文(FCOS: Fully Convolutional One-Stage Object Detection)，本人英语水平极差，翻译勉强看看就好Almostall state-of-the-art object dete

Papers Notes_7_ Batch Normalization--Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftIntroductionBatch NormalizationalgorithmworksbenefitReferencesIntroductionmini-batchestimate the gradient over the training

Papers Notes_6_ DCGAN--Unsupervised Representation Learning with Deep Convolutional GANApproachArchitectureApproachscale up GANs using CNNs to model imagesthe all convolutional netreplace deterministic spatial pooling functions (such as maxpooling) wi

Papers Notes_5_ GAN--Generative Adversarial NetsAdversarial NetsReferencesAdversarial Netsdiscriminative modelgenerative modelReferencesDeep Residual Learning for Image Recognition

Papers Notes_4_ ResNet--Deep Residual Learning for Image RecognitionNetwork DepthResidual MappingArchitectureNetwork Depthnetwork depth is of crucial importance, and the leading results on the challenging ImageNet dataset all exploit “very deep” models,

Papers Notes_3_ GoogLeNet--Going deeper with convolutionsArchitectureInception moduleGoogLeNetArchitectureInception moduleparallel conv. with different kernel sizevisual information should be processed at various scales and then aggregated→the next

Papers Notes_2_ VGG--Very Deep Convolutional Networks for Lage-scale Image RecognitionArchitectureTrainingArchitectureinput-224×224 RGB imagepreprocess-subtract the mean RGB value,computed on the training set,from each pixelstride-fixed to 1 pixelpad

Papers Notes_1_ AlexNet--ImageNet Classification with Deep Convolutional Neural NetworksArchitectureReLU NonlinearityLocal Response NormalizationOverlapping PoolingOverall ArchitectureReducing OverfittingData AugmentationDropoutDetails of LearningReference