Pinned Repositories
awsome-domain-adaptation
A collection of AWESOME things about domian adaptation
Data_Label_Tools
收集整理开源的数据标注工具
deep_learning_object_detection
A paper list of object detection using deep learning.
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
focal_loss_keras
focal loss implemented with keras
GitMe
my code home
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
pytorch-doc-zh
PyTorch 中文文档
VIA2COCO
this is a script used for converting annotations in VIA style to annotations in COCO style
codingwolfman's Repositories
codingwolfman/VIA2COCO
this is a script used for converting annotations in VIA style to annotations in COCO style
codingwolfman/deep_learning_object_detection
A paper list of object detection using deep learning.
codingwolfman/awsome-domain-adaptation
A collection of AWESOME things about domian adaptation
codingwolfman/Data_Label_Tools
收集整理开源的数据标注工具
codingwolfman/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
codingwolfman/focal_loss_keras
focal loss implemented with keras
codingwolfman/GitMe
my code home
codingwolfman/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
codingwolfman/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
codingwolfman/pytorch-doc-zh
PyTorch 中文文档
codingwolfman/Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
codingwolfman/the-gan-zoo
A list of all named GANs!
codingwolfman/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
codingwolfman/wide-resnet.pytorch
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch