PPFNet: Global Context Aware Local Features for Robust 3D Point Matching 阅读 - 代码天地

PPFNet: Global Context Aware Local Features for Robust 3D Point Matching 阅读

其他 2018-10-26 22:58:54 阅读次数: 0

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转载自blog.csdn.net/eglxiang/article/details/81633899

PPFNet: Global Context Aware Local Features for Robust 3D Point Matching 阅读

论文阅读 Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network

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论文阅读：EPNet: Enhancing Point Features with ImageSemantics for 3D Object Detection

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【论文阅读】【三维目标检测】Structure Aware Single-stage 3D Object Detection from Point Cloud

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【论文阅读】Learning Spatiotemporal Features with 3D Convolutional Networks

论文阅读：SalsaNext: Fast, Uncertainty-aware Semantic Segmentationof LiDAR Point Clouds for Autonomous D

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【论文阅读笔记】How Robust is 3D Human Pose Estimation to Occlusion?

论文阅读：Regressing Robust and Discriminative 3D Morphable Modelswith a very Deep Neural Network

Continuous 3D Label Stereo Matching using Local Expansion Moves

【论文理解】Robust Face Recognition against Eyeglasses Interference by Integrating Local and Global Facial

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Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification笔记

【论文阅读】Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition

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【论文翻译】【ICCV_2021_精】DepthContrast：Self-Supervised Pretraining of 3D Features on any Point-Cloud

论文翻译：Skeleton Based Human Action Recognition with Global Context-Aware Attention LSTM Networks

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