ConfidNet:通过学习模型的置信度来解决故障预测
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2021-05-15
11:35:39
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ConfidNet-master.zip （70个子文件） 
ConfidNet-master 
Dockerfile 750B .gitignore 203B README.md 7KB
teaser.png 116KB run_tests.sh 494B LICENSE 11KB confidnet cpp_loss __init__.py 0B structured_map_ranking_loss.cpp 18KB utils losses.py 7KB misc.py 1KB logger.py 2KB metrics.py 5KB __init__.py 0B trust_scores.py 16KB schedulers.py 3KB tensorboard_logger.py 2KB confs selfconfid-seg.yaml 1KB exp_cifar10.yaml 919B exp_cifar100.yaml 924B exp_svhn.yaml 840B selfconfid-classif.yaml 1KB exp_mnist.yaml 820B oodconfid.yaml 1KB exp_camvid.yaml 1KB exp_svhn_integration_tests.yaml 759B test.py 8KB train.py 5KB notebook success_errors_histogram.ipynb 28KB augmentations __init__.py 2KB segmentation_transforms.py 10KB learners selfconfid_learner.py 8KB __init__.py 773B default_learner.py 7KB learner.py 6KB oodconfid_learner.py 6KB models small_convnet_svhn_selfconfid_cloning.py 863B small_convnet_mnist.py 1KB vgg16_oodconfid.py 5KB mlp_extractor.py 684B vgg16_extractor.py 5KB small_convnet_svhn_selfconfid_classic.py 3KB mlp_selfconfid.py 2KB segnet_selfconfid.py 4KB small_convnet_mnist_selfconfid_classic.py 2KB mlp_oodconfid.py 1KB model.py 650B segnet.py 7KB __init__.py 3KB small_convnet_svhn_extractor.py 2KB vgg16.py 6KB mlp.py 966B segnet_extractor.py 3KB vgg16_selfconfid_classic.py 5KB small_convnet_svhn_oodconfid.py 2KB small_convnet_mnist_selfconfid_cloning.py 879B segnet_oodconfid.py 3KB small_convnet_mnist_extractor.py 870B small_convnet_mnist_oodconfid.py 1KB mlp_selfconfid_cloning.py 746B small_convnet_svhn.py 3KB segnet_selfconfid_cloning.py 822B vgg16_selfconfid_cloning.py 782B loaders camvid_dataset.py 4KB __init__.py 489B usualtorch_loader.py 4KB loader.py 5KB __init__.py 0B .dockerignore 38B setup.py 744B tox.ini 123B资源评论
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