[Paper Notes] PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds - Code World

[Paper Notes] PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds

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Origin blog.csdn.net/weixin_45657478/article/details/130809840

[Paper Notes] PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds

Read the notes Deep Hough Voting for 3D Object Detection in Point Clouds

Point Cloud 3D Weather Data Enhancement- Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in ... (ICCV 2021)

Paper Translation - LinK3D: Linear Keypoint Representation of 3D LiDAR Point Clouds

Real-time 3D target detection on lidar point clouds, Ilmenau University of Technology did it

LPCG: Guided Monocular 3D Object Detection with Laser Point Clouds

Paper reading | PointNet, a neural network that can directly process disordered 3D point clouds

Interpretation of the paper--PointPillars- Fast Encoders for Object Detection from Point Clouds

[] Multisensor fusion distinctions of Xuecheng multisensor fusion study notes (three) - The LIDAR 3D point clouds mapped to the camera image (on)

Paper reading: SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous D

Paper reading: EPNet: Enhancing Point Features with ImageSemantics for 3D Object Detection

Interpretation of the paper｜VoxelNet: End-to-end learning for point cloud-based 3D object detection

YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection (paper study notes)

Paper interpretation | Original PV-RCNN network for 3D object detection

Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection - Paper Notes

[Paper Notes] Cross Modal Transformer: Towards Fast and Robust 3D Object Detection

[Paper Notes] SVDM: Single-View Diffusion Model for Pseudo-Stereo 3D Object Detection

[Paper Notes] MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection

Multimodal Fusion 2022|DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection Reading Notes

Interpretation of the paper | KPConv - deformable convolutional network on point clouds

[Paper Notes] SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model

[Read the paper] PointConv: Deep Convolutional Networks on 3D Point Clouds

Fast and Accurate Ground Plane Detection for the Visually Impaired from 3D Organized Point Clouds

Overview of the application of Transformer in 3D point clouds (detection/tracking/segmentation/noise reduction/completion)

An overview of the article | A review of 3D target detection algorithms based on point clouds and multimodality! (Point/Voxel/Point-Voxel)

[Paper Notes] NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection

[Paper Notes] RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection

Paper Speed Reading--SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving

Dry goods! Unsupervised 3D object segmentation learned from dynamic point clouds

Classify 3D point clouds with PointNet

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