对于检测算法,尤其是两阶段的检测算法,通常需要使用预训练模型来初始化网络参数,才能够收敛到比较好的效果;这里提供了常见模型的预训练模型。
model name |
type |
vgg16_reduced_fc |
detection |
vgg16 |
all |
resnet_v1_50 |
all |
resnet_v1_101 |
all |
inception_v1 |
all |
inception_v2 |
all |
inception_v3 |
all |
inception_v4 |
all |
mobilenet_v1_1.0_224 |
all |
mobilenet_v2_1.0_224 |
all |
xception_41 |
all |
xception_65 |
all |
xception_71 |
all |
se_resnet_v1_50 |
all |
se_resnet_v1_101 |
all |
se_resnet_v1_152 |
all |
synthtext_text_end2end_krcnn_attn_resnet50 |
text_end2end |
general_text_end2end_krcnn_attn_resnet50 |
text_end2end |
general_crnn_attn_resnet15 |
text_recognition |
视频pretrain模型
model_name |
type |
resnet3d_50 |
video_classification |
resnet3d_101 |
video_classification |