Learning latent geometric consistency for 6D object pose estimation in heavily cluttered scenes - 代码天地

Learning latent geometric consistency for 6D object pose estimation in heavily cluttered scenes

其他 2020-08-04 17:58:23 阅读次数: 0

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转载自blog.csdn.net/qq_46105339/article/details/107769757

Learning latent geometric consistency for 6D object pose estimation in heavily cluttered scenes

6D姿态估计从0单排——看论文的小鸡篇——Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes

Segmentation-driven 6D Object Pose Estimation论文理解

论文笔记（五十）Segmentation-driven 6D Object Pose Estimation

6D姿态估计从0单排——看论文的小鸡篇——Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images

Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge（翻译）

人体姿态2019（六）Unsupervised 3D Pose Estimation with Geometric Self-Supervision

CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark

CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark 论文阅读

DeepIM: Deep Iterative Matching for 6D Pose Estimation论文理解

论文笔记（四十四）FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

论文笔记（五十一）Challenges for Monocular 6-D Object Pose Estimation in Robotics

Learning Feature Pyramids for Human Pose Estimation（理解）

Robust Pose Estimation in Crowded Scenes with Direct Pose-Level Inference 阅读笔记

论文笔记之6D姿态数据集：T-LESS An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects

Real Time pose estimation of a textured object (solvePnP)

论文翻译：2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning

2D多人关键点：《Deep High-Resolution Representation Learning for Human Pose Estimation》

RGB-D object recognition and pose estimation based on pre-trained convolutional neural network 阅读记录

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Pose Estimation

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3D pose estimation 综述

2D关键点检测之RSN50：Learning Delicate Local Representations for Multi-Person Pose Estimation

2D关键点检测之HRNet：Deep High-Resolution Representation Learning for Human Pose Estimation

3D GAN：Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

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