First, we present public point cloud datasets, which are the foundation for research in this area. Second, we briefly review previous segmentation methods based on geometry. Then, learning-based segmentation methods with multi-views and voxels are presented. Next, we provide an overview of ...
2)Vehicle Semantic Segmentation Based on Deep Learning: 语义分割为每个像素分配一个分类标签,如图2所示。与目标级车辆检测方法相比,语义分割对车辆检测更精确、更准确,对表达车辆[62]的位置和轮廓信息的能力更强,在智能车辆的环境感知中具有重要的应用价值。 根据训练数据的不同标记方法,语义分割可分为完全监督算法...
Recognizing 3D part instances from a 3D point cloud is crucial for 3D structure and scene understanding.Several learning-based approaches use semantic segm... CY Sun,X Tong,Y Liu - 计算可视媒体:英文版 被引量: 0发表: 2023年 A review of point cloud segmentation for understanding 3D indoor sce...
VGG:The main difference between VGG-16 and its predecessors is the use of a stack of convolution layers with small receptive fields in the first layers instead of few layers with big receptive fileds. This leads to less parameters and more non-linearities in between, thus making the decision ...
This review gives a brief overview of deep learning on image and point cloud data processing. Followed by in-depth reviews of camera-LiDAR fusion methods in depth completion, object detection, semantic segmentation, tracking and online cross-sensor calibration, which are organized based on their ...
ELF-Net: Enriching local features network for 3D point cloud classification and semantic segmentation 0 被引用·0 笔记 引用 Adaptive Exploitation of Pre-trained Deep Convolutional Neural Networks for Robust Visual Tracking DFILN: Deep Feature-interactive Learning Network for Object Detection ...
[IROS] Analyzing the quality of matched 3D point clouds of objects. [oth.] [3DV] SEGCloud: Semantic Segmentation of 3D Point Clouds. [project] [seg. aut.] ⭐ [TPAMI] Structure-aware Data Consolidation. [oth.] [ICCV] Local-to-Global Point Cloud Registration Using a Dictionary of Viewpoi...
Towards Continual Reinforcement Learning: A Review and Perspectives 2022 Journal of Artificial Intelligence Research An Introduction to Lifelong Supervised Learning 2022 Arxiv Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks 2022 Arxiv A continual learning survey: Def...
We present a comprehensive review of recent deep learning methods for point clouds. It covers major tasks in 3D point cloud analysis, including 3D shape classification, 3D object detection, and 3D point cloud segmentation. It also presents comparative results on several publicly available datasets, ...
[CVPR] Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs. [pytorch] [seg.] 🔥 [CVPR] VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection. [tensorflow] [det. aut.] 🔥 ⭐ [CVPR] Reflection Removal for Large-Scale 3D Point Clouds. [oth.] [CVPR]...