571502680

571502680's Stars

• bytedance/Fastbot_iOS

  About Fastbot(2.0) is a model-based testing tool for modeling GUI transitions to discover app stability problems

  Language:Objective-C547110

• bytedance/Fastbot_Android

  Fastbot(2.0) is a model-based testing tool for modeling GUI transitions to discover app stability problems

  Language:C++995231

• tdewolff/minify

  Go minifiers for web formats

  Language:Go3.6k208

• golang/protobuf

  Go support for Google's protocol buffers

  Language:Go9.6k1.6k

• xinchaosong/rdda_ur5_control

  A ROS package for controlling the Remote Direct-Drive Actuator (RDDA) with Universal Robots UR5/UR5e at Northeastern University, Boston.

  Language:Python72

• kirumang/NOL

  An official implementation of the paper, Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images

  Language:Python328

• ztzhao6/Liver-Segmentation-with-AttentionUNet

  Automatic Liver Segmentation of CT Volumes Using 2D Attention-UNet

  Language:Python362

• MichalHek/LiverLesionSeg

  Code for liver lesion segmentation using different architectures

  Language:Python171

• RanSuLab/RAUNet-tumor-segmentation

  residual attention unet for tumor segmentation (liver and brain)

  Language:Python12436

• xmengli/H-DenseUNet

  TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

  Language:Python526161

• sineagles/RAUNet-tumor-segmentation

  Language:Python51

• junqiangchen/COVID-CT19-Challenge

  COVID-CT19-Challenge

  Language:Python103

• 571502680/ObjectPoseEstimationSummary

  Resources (papers, datasets, rendering methods) in the domain of object pose estimation.

  21

• Unispac/Animation-Avatar-Generation

  基于GAN的动漫头像生成

  Language:Python8118

• doublechenching/brats_segmentation-pytorch

  3d unet + vae, repoduce brats2018 winner solution

  Language:Python11326

• cv-lee/BraTs

  PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)

  Language:Python24082

• guoyilin/plot

  some utils code of deep learning

  Language:Python1114

• implus/SKNet

  Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu：https://zhuanlan.zhihu.com/p/59690223

  Language:C++577107

• moskomule/senet.pytorch

  PyTorch implementation of SENet

  Language:Python2.2k442

• cvlab-epfl/single-stage-pose

  Single-Stage 6D Object Pose Estimation, CVPR 2020

  Language:Python10417

• openpifpaf/openpifpaf

  Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

  Language:Python1.1k249

• kartikgupta-at-anu/CullNet

  Code implementation of our paper "CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation"

  Language:Python164

• chensong1995/HybridPose

  HybridPose: 6D Object Pose Estimation under Hybrid Representation (CVPR 2020)

  Language:Python40564

• NieXC/pytorch-spm

  Pytorch implementation of Single-Stage Multi-Person Pose Machines (ICCV'19)

  151

• LZGMatrix/BOP19_CDPN_2019ICCV

  Language:Python5613

• YoungXIAO13/ObjectPoseEstimationSummary

  Resources (papers, datasets, rendering methods) in the domain of object pose estimation.

  Language:Python69585

• ethnhe/PVN3D

  Code for "PVN3D: A Deep Point-wise 3D Keypoints Hough Voting Network for 6DoF Pose Estimation", CVPR 2020

  Language:Python476104

• XiaLiPKU/EMANet

  The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

  Language:Python677129

• 571502680/Research-on-Pose-Estimation-of-Objects-2

  物体位姿估计研究-2：复现位姿估计论文《Real-Time Seamless Single Shot 6D Object Pose Prediction》

  Language:Python153

• 571502680/Research-on-Pose-Estimation-of-Objects-1

  物体位姿估计研究-1：复现位姿估计论文《Estimating 6D Pose From Localizing Designated Surface Keypoints》

  Language:C82