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2012.06508
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Confidence Estimation via Auxiliary Models
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
11 December 2020
Charles Corbière
Nicolas Thome
A. Saporta
Tuan-Hung Vu
Matthieu Cord
P. Pérez
TPM
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Papers citing
"Confidence Estimation via Auxiliary Models"
21 / 21 papers shown
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Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
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Localization Meets Uncertainty: Uncertainty-Aware Multi-Modal Localization
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Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
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Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review
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Luigi Fiorillo
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Markus H. Schmidt
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F. Faraci
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22 Dec 2023
Perception and Semantic Aware Regularization for Sequential Confidence Calibration
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Yuanmao Luo
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Shuangping Huang
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How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks
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OpenMix: Exploring Outlier Samples for Misclassification Detection
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Effective Pseudo-Labeling based on Heatmap for Unsupervised Domain Adaptation in Cell Detection
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Ryoma Bise
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09 Mar 2023
Rethinking Confidence Calibration for Failure Prediction
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Zhen Cheng
Xu-Yao Zhang
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06 Mar 2023
Semantic Image Segmentation: Two Decades of Research
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G. Csurka
Riccardo Volpi
Boris Chidlovskii
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13 Feb 2023
Interpretable Out-Of-Distribution Detection Using Pattern Identification
Romain Xu-Darme
Julien Girard-Satabin
Darryl Hond
Gabriele Incorvaia
Zakaria Chihani
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SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Binhui Xie
Shuang Li
Mingjiang Li
Chi Harold Liu
Gao Huang
Guoren Wang
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A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks
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Jiin Koo
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Kevin Mottin
Marco Gori
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Machine Learning with a Reject Option: A survey
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Lorenzo Perini
Dries Van der Plas
Wannes Meert
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Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving
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Explainability of deep vision-based autonomous driving systems: Review and challenges
International Journal of Computer Vision (IJCV), 2021
Éloi Zablocki
H. Ben-younes
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Matthieu Cord
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