Pinned Repositories
eccv18-rgb_pose_refinement
Inference code and trained networks for Deep Model-Based 6D Pose Refinement in RGB
Fast-SCNN-pytorch
A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network
ggcnn_kinova_grasping
Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)
mx-DeepIM
Deep Iterative Matching for 6D Pose Estimation
ObjectPoseEstimationSummary
Resources (papers, datasets, rendering methods) in the domain of object pose estimation.
Opencv-
opencv实战教程
pvnet
Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
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》
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》
robot-grasp-detection
This is a important file!
571502680's Repositories
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》
571502680/robot-grasp-detection
This is a important file!
571502680/Opencv-
opencv实战教程
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》
571502680/eccv18-rgb_pose_refinement
Inference code and trained networks for Deep Model-Based 6D Pose Refinement in RGB
571502680/ObjectPoseEstimationSummary
Resources (papers, datasets, rendering methods) in the domain of object pose estimation.
571502680/Fast-SCNN-pytorch
A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network
571502680/ggcnn_kinova_grasping
Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)
571502680/mx-DeepIM
Deep Iterative Matching for 6D Pose Estimation
571502680/pvnet
Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
571502680/BraTs
PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)
571502680/CS-Books
📚 Computer Science Books 计算机技术类书籍 PDF
571502680/CullNet
Code implementation of our paper "CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation"
571502680/EMANet
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
571502680/Fastbot_Android
Fastbot(2.0) is a model-based testing tool for modeling GUI transitions to discover app stability problems
571502680/Fastbot_iOS
About Fastbot(2.0) is a model-based testing tool for modeling GUI transitions to discover app stability problems
571502680/HybridPose
Implementation of HybridPose: 6D Object Pose Estimation under Hybrid Representation
571502680/minify
Go minifiers for web formats
571502680/openpifpaf
Official implementation of "PifPaf: Composite Fields for Human Pose Estimation" in PyTorch.
571502680/plot
some utils code of deep learning
571502680/pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
571502680/segmentation-driven-pose
Segmentation-driven 6D Object Pose Estimation. CVPR 2019.
571502680/senet.pytorch
PyTorch implementation of SENet
571502680/Simulation
571502680/SKNet
Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu：https://zhuanlan.zhihu.com/p/59690223
571502680/TC-MGAN