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The Robust Semantic Segmentation UNCV2023 Challenge Results

The Robust Semantic Segmentation UNCV2023 Challenge Results

27 September 2023
Xuanlong Yu
Yi Zuo
Zitao Wang
Xiaowen Zhang
Jiaxuan Zhao
Yuting Yang
Licheng Jiao
Rui Peng
Xinyi Wang
Junpei Zhang
Kexin Zhang
Fang Liu
Roberto Alcover-Couso
Juan C. Sanmiguel
Marcos Escudero-Viñolo
Hanlin Tian
Kenta Matsui
Tianhao Wang
Fahmy Adan
Zhitong Gao
Xuming He
Quentin Bouniot
Hossein Moghaddam
Shyam Nandan Rai
Fabio Cermelli
Carlo Masone
Andrea Pilzer
Elisa Ricci
Andrei Bursuc
Arno Solin
Martin Trapp
Rui Li
Angela Yao
Wenlong Chen
Ivor J. A. Simpson
Neill D. F. Campbell
Gianni Franchi
    UQCV
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Papers citing "The Robust Semantic Segmentation UNCV2023 Challenge Results"

7 / 7 papers shown
Title
Leveraging Contrastive Learning for Semantic Segmentation with
  Consistent Labels Across Varying Appearances
Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances
Javier Montalvo
Roberto Alcover-Couso
Pablo Carballeira
Álvaro García-Martín
Juan C. Sanmiguel
Marcos Escudero-Viñolo
69
0
0
21 Dec 2024
Generalize or Detect? Towards Robust Semantic Segmentation Under
  Multiple Distribution Shifts
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
Zhitong Gao
Bingnan Li
Mathieu Salzmann
Xuming He
OOD
VLM
40
1
0
06 Nov 2024
The Explanation Necessity for Healthcare AI
The Explanation Necessity for Healthcare AI
Michail Mamalakis
Héloïse de Vareilles
Graham K Murray
Pietro Lio'
J. Suckling
28
2
0
31 May 2024
An explainable three dimension framework to uncover learning patterns: A
  unified look in variable sulci recognition
An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognition
Michail Mamalakis
Héloïse de Vareilles
Atheer AI-Manea
Samantha C. Mitchell
Ingrid Arartz
...
Jane R. Garrison
Jon S. Simons
Pietro Lio'
J. Suckling
Graham K Murray
8
1
0
02 Sep 2023
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
5,635
0
05 Dec 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
201
14,190
0
07 Oct 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
9,042
0
06 Jun 2015
1