An Empirical Study of the Generalization Ability of Lidar 3D Object
Detectors to Unseen Domains

An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains

27 February 2024

George Eskandar

Abhishek Kaushik

Bin Yang

Papers citing "An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains"

7 / 7 papers shown

Title
A Review of 3D Object Detection with Vision-Language Models Ranjan Sapkota Konstantinos I Roumeliotis Rahul Harsha Cheppally Marco Flores Calero Manoj Karkee VLM 74 1 0 25 Apr 2025
A Survey of Label-Efficient Deep Learning for 3D Point Clouds Aoran Xiao Xiaoqin Zhang Ling Shao Shijian Lu 3DPC 27 18 0 31 May 2023
Cross-Domain Adaptive Teacher for Object Detection Yu-Jhe Li Xiaoliang Dai Chih-Yao Ma Yen-Cheng Liu Kan Chen Bichen Wu Zijian He Kris M. Kitani Peter Vajda ObjD 49 170 0 25 Nov 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 248 618 0 21 May 2021
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection Jiajun Deng Shaoshuai Shi Pei-Cian Li Wen-gang Zhou Yanyong Zhang Houqiang Li 3DPC 216 660 0 31 Dec 2020
Harmonizing Transferability and Discriminability for Adapting Object Detectors Chaoqi Chen Zebiao Zheng Xinghao Ding Yue Huang Qi Dou 40 270 0 13 Mar 2020
Deep Generative Modeling of LiDAR Data Lucas Page-Caccia H. V. Hoof Aaron Courville Joelle Pineau 3DPC 138 74 0 04 Dec 2018