从Gitbub下载的，外网下载速度10k+，好不容易下的，需要的请拿走。在Keras上预训练的VGG16模型，基于ImageNet
2020-04-03 03:02:42
56.16MB
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resnet预训练模型有resnet18.caffemodel，resnet50.caffemodel，resnet101.caffemodel，resnet152.caffemodel
2020-01-03 11:33:05
508.41MB
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本资源为YOLO v3目标检测算法的PyTorch实现（出处：https://github.com/ayooshkathuria/pytorch-yolo-v3），本压缩包中包含了240MB的预训练网络文件，方便难以访问国外服务器的同学下载。
2020-01-03 11:19:26
222.07MB
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Siamese-RPN
Paper: @InProceedings{Li_2018_CVPR,
author = {Li, Bo and Yan, Junjie and Wu, Wei and Zhu, Zheng and Hu, Xiaolin},
title = {High Performance Visual Tracking With Siamese Region Proposal Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
2019-12-21 22:04:21
14.32MB
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压缩包中是ssd300X300的网络模型，包括两种预训练模型的权值，vgg的预训练权值和ssd300的预训练权值
2019-12-21 21:49:49
169.36MB
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pytorch中的基础预训练模型和数据集 (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
2019-12-21 21:40:32
38KB
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