ICCV 2023 Open Access Repository

Uncertainty Estimation for Computer Vision

Biased Class disagreement: detection of out of distribution instances by using differently biased semantic segmentation models.: Roberto Alcover-Couso,

Juan C. SanMiguel,

Marcos Escudero-Viñolo; [pdf]
[bibtex]
@InProceedings{Alcover-Couso_2023_ICCV, author = {Alcover-Couso, Roberto and SanMiguel, Juan C. and Escudero-Vi\~nolo, Marcos}, title = {Biased Class disagreement: detection of out of distribution instances by using differently biased semantic segmentation models.}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4580-4588} }
Distance Matters For Improving Performance Estimation Under Covariate Shift: Mélanie Roschewitz,

Ben Glocker; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Roschewitz_2023_ICCV, author = {Roschewitz, M\'elanie and Glocker, Ben}, title = {Distance Matters For Improving Performance Estimation Under Covariate Shift}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4549-4559} }
The Robust Semantic Segmentation UNCV2023 Challenge Results: 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 Simpson,

Neill D. F. Campbell,

Gianni Franchi; [pdf] [arXiv]
[bibtex]
@InProceedings{Yu_2023_ICCV, author = {Yu, Xuanlong and Zuo, Yi and Wang, Zitao and Zhang, Xiaowen and Zhao, Jiaxuan and Yang, Yuting and Jiao, Licheng and Peng, Rui and Wang, Xinyi and Zhang, Junpei and Zhang, Kexin and Liu, Fang and Alcover-Couso, Roberto and SanMiguel, Juan C. and Escudero-Vi\~nolo, Marcos and Tian, Hanlin and Matsui, Kenta and Wang, Tianhao and Adan, Fahmy and Gao, Zhitong and He, Xuming and Bouniot, Quentin and Moghaddam, Hossein and Rai, Shyam Nandan and Cermelli, Fabio and Masone, Carlo and Pilzer, Andrea and Ricci, Elisa and Bursuc, Andrei and Solin, Arno and Trapp, Martin and Li, Rui and Yao, Angela and Chen, Wenlong and Simpson, Ivor and Campbell, Neill D. F. and Franchi, Gianni}, title = {The Robust Semantic Segmentation UNCV2023 Challenge Results}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4618-4628} }
DELO: Deep Evidential LiDAR Odometry Using Partial Optimal Transport: Sk Aziz Ali,

Djamila Aouada,

Gerd Reis,

Didier Stricker; [pdf] [arXiv]
[bibtex]
@InProceedings{Ali_2023_ICCV, author = {Ali, Sk Aziz and Aouada, Djamila and Reis, Gerd and Stricker, Didier}, title = {DELO: Deep Evidential LiDAR Odometry Using Partial Optimal Transport}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4517-4526} }
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-Wise Regression: Anton Baumann,

Thomas Roßberg,

Michael Schmitt; [pdf]
[bibtex]
@InProceedings{Baumann_2023_ICCV, author = {Baumann, Anton and Ro{\ss}berg, Thomas and Schmitt, Michael}, title = {Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-Wise Regression}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4498-4506} }
UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM: Erik Sandström,

Kevin Ta,

Luc Van Gool,

Martin R. Oswald; [pdf] [supp]
[bibtex]
@InProceedings{Sandstrom_2023_ICCV, author = {Sandstr\"om, Erik and Ta, Kevin and Van Gool, Luc and Oswald, Martin R.}, title = {UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4537-4548} }
Exploring Inlier and Outlier Specification for Improved Medical OOD Detection: Vivek Narayanaswamy,

Yamen Mubarka,

Rushil Anirudh,

Deepta Rajan,

Jayaraman J. Thiagarajan; [pdf] [supp]
[bibtex]
@InProceedings{Narayanaswamy_2023_ICCV, author = {Narayanaswamy, Vivek and Mubarka, Yamen and Anirudh, Rushil and Rajan, Deepta and Thiagarajan, Jayaraman J.}, title = {Exploring Inlier and Outlier Specification for Improved Medical OOD Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4589-4598} }
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection: Silvio Galesso,

Max Argus,

Thomas Brox; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Galesso_2023_ICCV, author = {Galesso, Silvio and Argus, Max and Brox, Thomas}, title = {Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4477-4487} }
Adversarial Attacks Against Uncertainty Quantification: Emanuele Ledda,

Daniele Angioni,

Giorgio Piras,

Giorgio Fumera,

Battista Biggio,

Fabio Roli; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ledda_2023_ICCV, author = {Ledda, Emanuele and Angioni, Daniele and Piras, Giorgio and Fumera, Giorgio and Biggio, Battista and Roli, Fabio}, title = {Adversarial Attacks Against Uncertainty Quantification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4599-4608} }
Dual-Level Interaction for Domain Adaptive Semantic Segmentation: Dongyu Yao,

Boheng Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yao_2023_ICCV, author = {Yao, Dongyu and Li, Boheng}, title = {Dual-Level Interaction for Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4527-4536} }
A Simple and Explainable Method for Uncertainty Estimation Using Attribute Prototype Networks: Claudius Zelenka,

Andrea Göhring,

Daniyal Kazempour,

Maximilian Hünemörder,

Lars Schmarje,

Peer Kröger; [pdf]
[bibtex]
@InProceedings{Zelenka_2023_ICCV, author = {Zelenka, Claudius and G\"ohring, Andrea and Kazempour, Daniyal and H\"unem\"order, Maximilian and Schmarje, Lars and Kr\"oger, Peer}, title = {A Simple and Explainable Method for Uncertainty Estimation Using Attribute Prototype Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4570-4579} }
Gaussian Latent Representations for Uncertainty Estimation Using Mahalanobis Distance in Deep Classifiers: Aishwarya Venkataramanan,

Assia Benbihi,

Martin Laviale,

Cédric Pradalier; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Venkataramanan_2023_ICCV, author = {Venkataramanan, Aishwarya and Benbihi, Assia and Laviale, Martin and Pradalier, C\'edric}, title = {Gaussian Latent Representations for Uncertainty Estimation Using Mahalanobis Distance in Deep Classifiers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4488-4497} }
Unsupervised Confidence Approximation: Trustworthy Learning from Noisy Labelled Data: Navid Rabbani,

Adrien Bartoli; [pdf]
[bibtex]
@InProceedings{Rabbani_2023_ICCV, author = {Rabbani, Navid and Bartoli, Adrien}, title = {Unsupervised Confidence Approximation: Trustworthy Learning from Noisy Labelled Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4609-4617} }
Identifying Out-of-Domain Objects with Dirichlet Deep Neural Networks: Ahmed Hammam,

Frank Bonarens,

Seyed Eghbal Ghobadi,

Christoph Stiller; [pdf]
[bibtex]
@InProceedings{Hammam_2023_ICCV, author = {Hammam, Ahmed and Bonarens, Frank and Ghobadi, Seyed Eghbal and Stiller, Christoph}, title = {Identifying Out-of-Domain Objects with Dirichlet Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4560-4569} }
Calibrated Out-of-Distribution Detection with a Generic Representation: Tomáš Vojíř,

Jan Šochman,

Rahaf Aljundi,

Jiří Matas; [pdf] [supp]
[bibtex]
@InProceedings{Vojir_2023_ICCV, author = {Voj{\'\i}\v{r}, Tom\'a\v{s} and \v{S}ochman, Jan and Aljundi, Rahaf and Matas, Ji\v{r}{\'\i}}, title = {Calibrated Out-of-Distribution Detection with a Generic Representation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {4507-4516} }