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providing over a hundred annotated High Resolution CT (HRCT), we analyze the performance of three convolutional neural networks for the segmentation of lung and COVID findings: a 3D UNet architecture; a modified EfficientDet (2D) architecture; and 3D and 2D variations of the MobileNetV3 architectur...
test_unet2d_isbi_ascend_train_infer_8p_0002 test_ms_bert_finetune_ner_bilstm_crf_chinesener_train_infer_910_1p_0006 test_ms_dbnet_mobilenetv3_icdar2015_train_check_perf_910_gpu_1p_0001 test_ms_dbnet_mobilenetv3_icdar2015_train_check_loss_910_gpu_8p_0001 Steps to reproduce the issue / ...
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN,
zhongjicheng 将任务状态从VALIDATION 修改为DONE 1年前 Victorhe 将父任务设置为[ST][MS][NET][unet2d/resnet50/fasterrcnn/mobilenetv2/wide&deep/shufflenetv2/deeplabv3/inceptionv3/crnn_vgg7/efficientnet/resnex50/wavenet][910B1/GPU]训练日志有弃用接口告警日志 1年前 登录 后才可以发表评论 状态...
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The proposed model combines the UNet architecture with the MobileNetV3 model for spinal cord gray matter segmentation. We begin this section by elaborating on the employed dataset. Then, we briefly review the UNet architecture for image segmentation. We follow this by presenting the MobileNetV3 model...
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