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Every Dataset Counts: Scaling up Monocular 3D Object Detection with
  Joint Datasets Training

Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training

2 October 2023
Fulong Ma
Xiaoyang Yan
Guoyang Zhao
Xiaojie Xu
Yuxuan Liu
Ming-Yu Liu
ArXivPDFHTML

Papers citing "Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training"

5 / 5 papers shown
Title
TSCLIP: Robust CLIP Fine-Tuning for Worldwide Cross-Regional Traffic Sign Recognition
TSCLIP: Robust CLIP Fine-Tuning for Worldwide Cross-Regional Traffic Sign Recognition
Guoyang Zhao
Fulong Ma
Weiqing Qi
Chenguang Zhang
Yuxuan Liu
Ming Liu
Jun Ma
VLM
CLIP
23
3
0
23 Sep 2024
CurbNet: Curb Detection Framework Based on LiDAR Point Cloud Segmentation
CurbNet: Curb Detection Framework Based on LiDAR Point Cloud Segmentation
Guoyang Zhao
Fulong Ma
Weiqing Qi
Yuxuan Liu
Ming-Yu Liu
Jun Ma
28
5
0
25 Mar 2024
3D Object Detection from Images for Autonomous Driving: A Survey
3D Object Detection from Images for Autonomous Driving: A Survey
Xinzhu Ma
Wanli Ouyang
Andrea Simonelli
Elisa Ricci
3DPC
66
90
0
07 Feb 2022
Lidar Point Cloud Guided Monocular 3D Object Detection
Lidar Point Cloud Guided Monocular 3D Object Detection
Liang Peng
Fei Liu
Zhengxu Yu
Senbo Yan
Dan Deng
Zheng Yang
Haifeng Liu
Deng Cai
3DPC
66
47
0
19 Apr 2021
Weakly Supervised 3D Object Detection from Point Clouds
Weakly Supervised 3D Object Detection from Point Clouds
Zengyi Qin
Jinglu Wang
Yan Lu
3DPC
60
62
0
28 Jul 2020
1