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Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding

Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding

25 March 2024
Lingdong Kong
Xiang Xu
Jun Cen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
ArXivPDFHTML

Papers citing "Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding"

13 / 13 papers shown
Title
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty
  Learning
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning
Song Wang
Zhongdao Wang
Jiawei Yu
Wentong Li
Bailan Feng
Junbo Chen
Jianke Zhu
UQCV
29
3
0
26 Sep 2024
An Empirical Study of Training State-of-the-Art LiDAR Segmentation
  Models
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models
Jiahao Sun
Chunmei Qing
Xiang Xu
Lingdong Kong
You-Chen Liu
...
Zeqi Xiao
Runnan Chen
Tai Wang
Wenwei Zhang
Kai-xiang Chen
3DV
42
6
0
23 May 2024
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving
Lingdong Kong
Xiang Xu
Jiawei Ren
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Wei Tsang Ooi
Ziwei Liu
40
16
0
08 May 2024
Multi-Space Alignments Towards Universal LiDAR Segmentation
Multi-Space Alignments Towards Universal LiDAR Segmentation
You-Chen Liu
Lingdong Kong
Xiaoyang Wu
Runnan Chen
Xin Li
Liang Pan
Ziwei Liu
Yuexin Ma
3DPC
37
17
0
02 May 2024
Visual Foundation Models Boost Cross-Modal Unsupervised Domain
  Adaptation for 3D Semantic Segmentation
Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
Jingyi Xu
Weidong Yang
Lingdong Kong
You-Chen Liu
Rui Zhang
Qingyuan Zhou
Ben Fei
53
10
0
15 Mar 2024
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
Xiang Xu
Lingdong Kong
Hui Shuai
Qingshan Liu
3DPC
56
22
0
07 Dec 2023
TorchSparse++: Efficient Training and Inference Framework for Sparse
  Convolution on GPUs
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs
Haotian Tang
Shang Yang
Zhijian Liu
Ke Hong
Zhongming Yu
Xiuyu Li
Guohao Dai
Yu Wang
Song Han
55
21
0
25 Oct 2023
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
Xu Yan
Jiantao Gao
Chaoda Zheng
Chao Zheng
Ruimao Zhang
Shenghui Cui
Zhen Li
3DPC
84
213
0
10 Jul 2022
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
BDL
167
404
0
12 Oct 2021
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection
  for Sparse Semantic Segmentation Network
(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
153
241
0
08 Feb 2021
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic
  Segmentation
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
Venice Erin Liong
Thi Ngoc Tho Nguyen
S. Widjaja
Dhananjai Sharma
Z. J. Chong
3DPC
134
110
0
09 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
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
279
9,136
0
06 Jun 2015
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