Robust 3D Object Detection

12 papers with code • 2 benchmarks • 2 datasets

3D Object Detection under Out-of-Distribution Scenarios


Use these libraries to find Robust 3D Object Detection models and implementations

Most implemented papers

PointPillars: Fast Encoders for Object Detection from Point Clouds

nutonomy/second.pytorch CVPR 2019

These benchmarks suggest that PointPillars is an appropriate encoding for object detection in point clouds.

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

sshaoshuai/PointRCNN CVPR 2019

In this paper, we propose PointRCNN for 3D object detection from raw point cloud.

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

open-mmlab/OpenPCDet CVPR 2020

We present a novel and high-performance 3D object detection framework, named PointVoxel-RCNN (PV-RCNN), for accurate 3D object detection from point clouds.

Center-based 3D Object Detection and Tracking

tianweiy/CenterPoint CVPR 2021

Three-dimensional objects are commonly represented as 3D boxes in a point-cloud.

TANet: Robust 3D Object Detection from Point Clouds with Triple Attention

happinesslz/TANet 11 Dec 2019

In this paper, we focus on exploring the robustness of the 3D object detection in point clouds, which has been rarely discussed in existing approaches.

Cross Modal Transformer: Towards Fast and Robust 3D Object Detection

junjie18/cmt ICCV 2023

In this paper, we propose a robust 3D detector, named Cross Modal Transformer (CMT), for end-to-end 3D multi-modal detection.

LiDAR Snowfall Simulation for Robust 3D Object Detection

syscv/lidar_snow_sim CVPR 2022

Due to the difficulty of collecting and annotating training data in this setting, we propose a physically based method to simulate the effect of snowfall on real clear-weather LiDAR point clouds.

3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection

rasd3/3D-Dual-Fusion 24 Nov 2022

Fusing data from cameras and LiDAR sensors is an essential technique to achieve robust 3D object detection.

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

ldkong1205/Robo3D ICCV 2023

The robustness of 3D perception systems under natural corruptions from environments and sensors is pivotal for safety-critical applications.

Robust 3D Object Detection from LiDAR-Radar Point Clouds via Cross-Modal Feature Augmentation

djning/see_beyond_seeing 29 Sep 2023

Specifically, spatial alignment is proposed to deal with the geometry discrepancy for better instance matching between LiDAR and radar.