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
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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
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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
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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
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resnet50_weights_tf_dim_ordering_tf_kernels_notop
Linux下是放在“~/.keras/models/”中
Win下则放在Python的“settings/.keras/models/”中
Windows-weights路径：C:\Users\你的用户名\.keras\models anaconda下依然好用
2019-12-21 21:17:26
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该文档为目标检测算法YOLOV3在训练数据集时所使用的预训练模型。YOLOV3训练数据集的具体方法可以参考本人在csdn上写的博客https://blog.csdn.net/qq_41900772/article/details/95064437
2019-12-21 20:55:15
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Google提出的开源人脸识别算法FaceNet的预训练模型，FaceNet的官方的预训练模型，20180408-102900
NOTE: If you use any of the models, please do not forget to give proper credit to those providing the training dataset as well.
2019-12-21 20:51:11
186.64MB
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