VoxelNext, a fully sparse 3D object detection network - Code World

VoxelNext, a fully sparse 3D object detection network

Enterprise 2023-10-05 10:46:02 views: null

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Origin blog.csdn.net/huang_victor/article/details/130065986

VoxelNext, a fully sparse 3D object detection network

SparseBEV: A high-performance, fully sparse pure vision 3D object detector

Image Detection- FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection (ICCVW 2021)

[3D target detection] sparse convolution

Multi-View 3D Object Detection Network for Autonomous Driving

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

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

A Survey of Monocular 3D Object Detection

SparseOcc: Fully sparse 3D panoramic occupancy prediction (semantic + instance dual tasks)

Overview: 3D object detection in RGB-D (Object detection in RGB-D images)

Sliding Shapes for 3D Object Detection in Depth Images

[Notes] paper FCOS: Fully Convolutional One-Stage Object Detection

Image Detection - FCOS: Fully Convolutional One-Stage Object Detection (ICCV 2019)

StreamPETR：Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

【ICCV 2023】FocalFormer3D : Focusing on Hard Instance for 3D Object Detection

ICCV 2023 | 3DPPE: 3D Point Encoding for Surround-View 3D Object Detection

【ICCV 2023】3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers

Position Embedding Transformation for Multi-View 3D Object Detection (PETR: Position Embedding Transformation for Multi-View 3D Object Detection)

[3D Object Detection/Autonomous Driving] IA-BEV: Instance-aware 3D object detection based on structural priors and self-reinforcement learning (AAAI 2024)

3D box classic paper - "Multimodal 3D Object Detection from Simulated Pretraining" learning record

Paper reading-Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Image

目标检测 - Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

【3D 目标检测】2019 CVPR Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles

3D Vision Series Open Courses: 3D Environment Perception, 3D Object Detection, Point Cloud Segmentation, Point Cloud Registration

CVPR2020 | Exploration of object visibility information in 3D detection

论文解读：SMOKE：SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

1、CenterPoint: Center-based 3D Object Detection and Tracking 环境配置

Paper reading: "Bridging the Gap in 3D Object Detection for Autonomous Driving"

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

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