Fault Diagnosis of Shipboard Medium-Voltage Alternating Current Power System with Fault Recording Data-Driven SE-ResNet18-1 ModelShipboard MVAC power systemFault diagnosisFault recordingSE blockResidual neural networkThe electrification trend of marine vessels has led to the rapid development of all-...
Created with Highcharts 8.2.2Parameters (M)Top 1 Accuracy (%)legacy_seresnet18legacy_seresnet18legacy_seresnet34legacy_seresnet34legacy_seresnet50legacy_seresnet50legacy_seresnet101legacy_seresnet101legacy_seresnet152legacy_seresnet15201002003004005006007008009001000020406080100 ...
seresnet18 71.742 (28.258) 90.334 (9.666) 11.8M bicubic 224Ported WeightsFor the models below, the model code and weight porting from Tensorflow or MXNet Gluon to Pytorch was done by myself. There are weights/models ported by others included in this repository, they are not listed below.Mod...
ResNet-18, ResNet-34, ResNet-50, ResNet-101, ResNet-152, ResNeXt50 (32x4d), ResNeXt101 (32x4d and 64x4d) 'Bag of Tricks' / Gluon C, D, E, S variations (https://arxiv.org/abs/1812.01187) Instagram trained / ImageNet tuned ResNeXt101-32x8d to 32x48d from fromfacebookresearch...
skresnet18 - 73% top-1 skresnet34 - 76.9% top-1 skresnext50_32x4d (equiv to SKNet50) - 80.2% top-1 ECA and CECA (circular padding) attention layer contributed by Chris Ha CBAM attention experiment (not the best results so far, may remove) Attention factory to allow dynamically selec...
将特征信息导入Se-ResNet101网络进行池化、卷积等操作。最后,将全连接层的特征信息通过KNN算法進行预分类。最终得到准确率为98.83%,和ResNet系列网络对比,Se-ResNet101网络得到的准确率最高。 关键词:Se-ResNet101; KNN;图像分类 中图分类号:TP391文献标识码:A文章编号:1009-3044(2023)18-0033-05...
Pulmonary-Nodule Detection Using an Ensemble of 3D SE-ResNet18 and DPN68 ModelsThis short paper describes our contribution to the LNDb - Grand Challenge on automatic lung cancer patient management [1]. We only participated in Sub-Challenge A: Nodule Detection. The officially stated goal of this...
Experimental results demonstrate that the SE-ResNet models achieve impressive IoU scores for background, kidney, and tumor segmentation, with mean IoU scores ranging from 0.988 to 0.981 for Seresnet50 and Seresnet18, respectively. Notably, Seresnet50 exhibits the highest IoU score...
seresnet18 71.742 (28.258) 90.334 (9.666) 11.8M bicubic 224Ported WeightsFor the models below, the model code and weight porting from Tensorflow or MXNet Gluon to Pytorch was done by myself. There are weights/models ported by others included in this repository, they are not listed below.Mod...
gluon_resnet18_v1b70.830 (29.170)89.756 (10.244)11.69bicubic224 Models with*tfpnext to them were scored with--tf-preprocessingflag. Thetf_efficientnet,tf_mixnetmodels require an equivalent for 'SAME' padding as their arch results in asymmetric padding. I've added this in the model creation wr...