Pinned Repositories
caffe
Caffe: a fast open framework for deep learning.
DenseNet-Caffe
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
DenseNetCaffe
Caffe code for Densely Connected Convolutional Networks (DenseNets)
FGD
Focal and Global Knowledge Distillation for Detectors (CVPR 2022)
insightface
Face Analysis Project on MXNet
mmdetection
OpenMMLab Detection Toolbox and Benchmark
MobileNet-SSD
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
MobileNetv2-SSDLite
Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
SqueezeNet
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
sinoaidi's Repositories
sinoaidi/caffe
Caffe: a fast open framework for deep learning.
sinoaidi/DenseNet-Caffe
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
sinoaidi/DenseNetCaffe
Caffe code for Densely Connected Convolutional Networks (DenseNets)
sinoaidi/FGD
Focal and Global Knowledge Distillation for Detectors (CVPR 2022)
sinoaidi/insightface
Face Analysis Project on MXNet
sinoaidi/mmdetection
OpenMMLab Detection Toolbox and Benchmark
sinoaidi/MobileNet-SSD
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
sinoaidi/MobileNetv2-SSDLite
Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
sinoaidi/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
sinoaidi/SqueezeNet
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
sinoaidi/SqueezeNext
sinoaidi/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
sinoaidi/YOLOv5_NCNN
🍅 移动端部署，支持YOLOv5s、YOLOv4-tiny、MobileNetV2-YOLOv3-nano、Simple-Pose、Yolact与ChineseOCR-lite模型，支持iOS、Android，使用NCNN框架。