SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usage
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
Caffe: a fast open framework for deep learning.
generate default box settings using kmeans
Caffe Implementation of Google's MobileNets (v1 and v2)
DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.
Tengine is a lite, high performance, modular inference engine for embedded device
计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与！！! 持续更新中... ...
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Awesome resources of yousan.ai(closely related to deep learning).
Provides the DaVinci models that are converted from a mainstream, open source, deep learning network models
