Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2207.01452
Cited By
Open-world Semantic Segmentation for LIDAR Point Clouds
4 July 2022
Jun Cen
Peng Yun
Shiwei Zhang
Junhao Cai
Di Luan
M. Y. Wang
Meilin Liu
Mingqian Tang
3DPC
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Open-world Semantic Segmentation for LIDAR Point Clouds"
7 / 7 papers shown
Title
Towards Open-set Camera 3D Object Detection
Zhuolin He
Xinrun Li
Heng Gao
Jiachen Tang
Shoumeng Qiu
Wenfu Wang
Lvjian Lu
Xuchong Qiu
Xiangyang Xue
Jian Pu
3DPC
41
0
0
25 Jun 2024
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving
Daniel Bogdoll
Iramm Hamdard
Lukas Namgyu Rößler
Felix Geisler
Muhammed Bayram
...
Miguel de Campos
Anushervon Tabarov
Yitian Yang
Hanno Gottschalk
J. Marius Zöllner
39
5
0
13 May 2024
DeFlow: Decoder of Scene Flow Network in Autonomous Driving
Qingwen Zhang
Yi Yang
Heng Fang
R. Geng
Patric Jensfelt
3DPC
30
15
0
29 Jan 2024
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
Ran Cheng
Ryan Razani
E. Taghavi
Enxu Li
Bingbing Liu
3DPC
158
241
0
08 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,103
0
02 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1