Pinned Repositories
ASFF
yolov3 with mobilenet v2 and ASFF
Awesome-Pruning
A curated list of neural network pruning resources.
CenterTrack
Simultaneous object detection and tracking using center points.
CentripetalNet
Source codes of "CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection"
CppCoreGuidelines
C++核心指南中文翻译(进行中)
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
deep_sort_pytorch
MOT tracking using deepsort and yolov3 with pytorch
deepstream_reference_apps
Samples for TensorRT/Deepstream for Tesla & Jetson
flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
HRNet-Object-Detection
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
feixiangdekaka's Repositories
feixiangdekaka/ASFF
yolov3 with mobilenet v2 and ASFF
feixiangdekaka/Awesome-Pruning
A curated list of neural network pruning resources.
feixiangdekaka/CenterTrack
Simultaneous object detection and tracking using center points.
feixiangdekaka/CentripetalNet
Source codes of "CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection"
feixiangdekaka/CppCoreGuidelines
C++核心指南中文翻译(进行中)
feixiangdekaka/deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
feixiangdekaka/deep_sort_pytorch
MOT tracking using deepsort and yolov3 with pytorch
feixiangdekaka/deepstream_reference_apps
Samples for TensorRT/Deepstream for Tesla & Jetson
feixiangdekaka/flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
feixiangdekaka/HRNet-Object-Detection
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
feixiangdekaka/ImageBasedModellingEduV1.0
feixiangdekaka/Object-Detection-and-Tracking
YOLO & RCNN Object Detection and Multi-Object Tracking
feixiangdekaka/Object_Detection_Tools
feixiangdekaka/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
feixiangdekaka/pytorch-YOLOv4
Minimal PyTorch implementation of YOLOv4
feixiangdekaka/slimming
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
feixiangdekaka/Stronger-yolo-pytorch
Pytorch implementation of Stronger-Yolo with channel pruning and Mobiledevice deployment.
feixiangdekaka/voc2007_for_yolo_torch
prepare dataset for voc https://github.com/ultralytics/yolov3
feixiangdekaka/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > iOS
feixiangdekaka/yolov3-channel-and-layer-pruning
yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏
feixiangdekaka/YOLOv3-complete-pruning
提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。
feixiangdekaka/YOLOv3-model-pruning
在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）
feixiangdekaka/YOLOv3-ModelCompression-MultidatasetTraining-Multibackbone
YOLOv3 ModelCompression MultidatasetTraining
feixiangdekaka/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > iOS