WangboML's Stars
princeton-vl/CornerNet-Lite
HRNet/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
Duankaiwen/CenterNet
Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
gan3sh500/octaveconv-pytorch
Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution in Pytorch (https://arxiv.org/abs/1904.05049)
Guoxs/3D_relaynet
magnusja/RelayNet
Measuring uncertainty in Deep Learning for Medical Imaging using Monte Carlo Dropout
facebookresearch/pytorch_GAN_zoo
A mix of GAN implementations including progressive growing
hindupuravinash/the-gan-zoo
A list of all named GANs!
leoxiaobin/deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Tencent/FaceDetection-DSFD
腾讯优图高精度双分支人脸检测器
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
jfzhang95/pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
liuwei16/CSP
High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019
Zengyi-Qin/MonoGRNet
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Detection and Localization | KITTI
mjDelta/Medical_Image_Data
some medical data's description
MG168/Edema-Segmentation-Detection
Optical Coherence Tomography(OCT) is now used to assist doctors in judging Retinal Edema. The submitted results consist of two parts: the segmentation results and detection results, which required the same as 'groundtruth's format in validation set.
maet3608/oct-lasagne
Tool for the surface annotation of retinal Optical Coherence Tomography (OCT) volumes
mlaves/imes4d
Python modules for 4D image processing of optical coherence tomographies.
msracver/Deformable-ConvNets
Deformable Convolutional Networks
CopyTranslator/CopyTranslator
🔠Foreign language reading and translation assistant based on copy and translate.
chenyuntc/simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
amusi/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
CVxTz/medical_image_segmentation
Medical image segmentation ( Eye vessel segmentation)
voxelmorph/voxelmorph
Unsupervised Learning for Image Registration
hairuiGo/AutoDrive
i love AutoDrive
sgrvinod/a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
sgrvinod/Deep-Tutorials-for-PyTorch
In-depth tutorials for implementing deep learning models on your own with PyTorch.
CSAILVision/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
zhanghanduo/yolo3_pytorch
Yolo3 Implementation in Pytorch using COCO and BDD100K dataset. Forked from https://github.com/BobLiu20/YOLOv3_PyTorch.git. For my own fun, so the introduction is not accurate.