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Latent Discriminant deterministic Uncertainty

Latent Discriminant deterministic Uncertainty

20 July 2022
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
David Filliat
    UQCV
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Papers citing "Latent Discriminant deterministic Uncertainty"

18 / 18 papers shown
Title
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception
Luke Chen
Junyao Wang
Trier Mortlock
Pramod P. Khargonekar
M. A. Al Faruque
UQCV
65
0
0
25 Mar 2025
Towards Understanding and Quantifying Uncertainty for Text-to-Image
  Generation
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
Gianni Franchi
Dat Nguyen Trong
Nacim Belkhir
Guoxuan Xia
Andrea Pilzer
UQLM
73
0
0
04 Dec 2024
Improving Deep Learning Model Calibration for Cardiac Applications using
  Deterministic Uncertainty Networks and Uncertainty-aware Training
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training
Tareen Dawood
B. Ruijsink
Reza Razavi
Andrew P. King
Esther Puyol-Antón
UQCV
37
1
0
10 May 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
SURE: SUrvey REcipes for building reliable and robust deep networks
Yuting Li
Yingyi Chen
Xuanlong Yu
Dexiong Chen
Xi Shen
UQCV
OOD
34
4
0
01 Mar 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty
  Quantification Methods
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
Jiaxin Zhang
Kamalika Das
Kumar Sricharan
UQCV
25
0
0
20 Feb 2024
Uncertainty Estimation for Safety-critical Scene Segmentation via
  Fine-grained Reward Maximization
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization
Hongzheng Yang
Cheng Chen
Yueyao Chen
Markus Scheppach
Hon-Chi Yip
Qi Dou
EDL
UQCV
18
8
0
05 Nov 2023
Uncertainty-Aware Decision Transformer for Stochastic Driving
  Environments
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments
Zenan Li
Fan Nie
Q. Sun
Fang Da
Hang Zhao
OffRL
21
3
0
28 Sep 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results
The Robust Semantic Segmentation UNCV2023 Challenge Results
Xuanlong Yu
Yi Zuo
Zitao Wang
Xiaowen Zhang
Jiaxuan Zhao
...
Angela Yao
Wenlong Chen
Ivor J. A. Simpson
Neill D. F. Campbell
Gianni Franchi
UQCV
33
4
0
27 Sep 2023
Improving CLIP Robustness with Knowledge Distillation and Self-Training
Improving CLIP Robustness with Knowledge Distillation and Self-Training
Clement Laroudie
Andrei Bursuc
Mai Lan Ha
Gianni Franchi
VLM
24
5
0
19 Sep 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty
  Quantification on Regression
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
Xuanlong Yu
Gianni Franchi
Jindong Gu
Emanuel Aldea
UQCV
11
4
0
17 Aug 2023
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
Mochu Xiang
Jing Zhang
Nick Barnes
Yuchao Dai
UQCV
29
3
0
19 Jul 2023
Joint Salient Object Detection and Camouflaged Object Detection via
  Uncertainty-aware Learning
Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning
Aixuan Li
Jing Zhang
Yun-Qiu Lv
Tong Zhang
Yiran Zhong
Mingyi He
Yuchao Dai
21
2
0
10 Jul 2023
Exploring Resolution Fields for Scalable Image Compression with
  Uncertainty Guidance
Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance
Dongyi Zhang
Feng Li
Man Liu
Runmin Cong
H. Bai
M. Wang
Yao-Min Zhao
20
7
0
15 Jun 2023
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep
  Ensembles are More Efficient than Single Models
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models
Guoxuan Xia
C. Bouganis
UQCV
50
12
0
14 Mar 2023
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du
Zhaoning Wang
Mu Cai
Yixuan Li
OODD
174
304
0
02 Feb 2022
Generative Transformer for Accurate and Reliable Salient Object
  Detection
Generative Transformer for Accurate and Reliable Salient Object Detection
Yuxin Mao
Jing Zhang
Zhexiong Wan
Yuchao Dai
Aixuan Li
Yun-Qiu Lv
Xinyu Tian
Deng-Ping Fan
Nick Barnes
ViT
63
31
0
20 Apr 2021
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
268
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
247
9,134
0
06 Jun 2015
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