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MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential
  Deep Learning

MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep Learning

18 September 2023
Helbert Paat
Qing Lian
Weilong Yao
Tong Zhang
    EDL
ArXivPDFHTML

Papers citing "MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep Learning"

4 / 4 papers shown
Title
Context-Aware Transformer for 3D Point Cloud Automatic Annotation
Context-Aware Transformer for 3D Point Cloud Automatic Annotation
Xiaoyan Qian
Chang Liu
Xiaojuan Qi
Siew-Chong Tan
E. Lam
Ngai Wong
3DPC
ViT
51
6
0
27 Mar 2023
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
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
221
660
0
31 Dec 2020
Weakly Supervised 3D Object Detection from Point Clouds
Weakly Supervised 3D Object Detection from Point Clouds
Zengyi Qin
Jinglu Wang
Yan Lu
3DPC
69
62
0
28 Jul 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1