A Metacognitive Approach to Out-of-Distribution Detection for Segmentation

4 October 2023

Papers citing "A Metacognitive Approach to Out-of-Distribution Detection for Segmentation"

38 / 38 papers shown

Title
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions R. Hebbalaguppe Soumya Suvra Goshal Jatin Prakash H. Khadilkar Chetan Arora OODD 62 5 0 28 Jul 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 89 36 0 29 Jun 2022
SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries Meghna Gummadi Cassandra Kent Jorge Armando Mendez Mendez Eric Eaton CLL 70 10 0 28 Jun 2022
Anomaly Detection in Autonomous Driving: A Survey Daniel Bogdoll Maximilian Nitsche J. Marius Zöllner 73 121 0 17 Apr 2022
Thinking Fast and Slow in AI: the Role of Metacognition M. B. Ganapini Murray Campbell F. Fabiano L. Horesh J. Lenchner Andrea Loreggia N. Mattei F. Rossi Biplav Srivastava Kristen Brent Venable LLMAG AI4CE 75 18 0 05 Oct 2021
Learning Open-World Object Proposals without Learning to Classify Dahun Kim Nayeon Lee A. Angelova In So Kweon Weicheng Kuo SSeg 69 128 0 15 Aug 2021
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation Sanghun Jung Jungsoo Lee Daehoon Gwak Sungha Choi Jaegul Choo 133 96 0 23 Jul 2021
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios Lakshman Balasubramanian Friedrich Kruber M. Botsch Ke Deng 42 12 0 17 May 2021
Pixel-wise Anomaly Detection in Complex Driving Scenes Giancarlo Di Biase Hermann Blum Roland Siegwart Cesar Cadena UQCV 61 156 0 09 Mar 2021
Detecting Road Obstacles by Erasing Them Krzysztof Lis S. Honari Pascal Fua Mathieu Salzmann UQCV 147 44 0 25 Dec 2020
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Hanno Gottschalk OODD 126 153 0 09 Dec 2020
Improving Semantic Segmentation via Decoupled Body and Edge Supervision Xiangtai Li Xia Li Li Zhang Guangliang Cheng Jianping Shi Zhouchen Lin Shaohua Tan Yunhai Tong 236 257 0 20 Jul 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 90 467 0 21 Feb 2020
Scaling Out-of-Distribution Detection for Real-World Settings Dan Hendrycks Steven Basart Mantas Mazeika Andy Zou Joe Kwon Mohammadreza Mostajabi Jacob Steinhardt Basel Alomair OODD 196 486 0 25 Nov 2019
Identifying Unknown Instances for Autonomous Driving K. Wong Shenlong Wang Mengye Ren Ming Liang R. Urtasun 128 112 0 24 Oct 2019
Panoptic-DeepLab Bowen Cheng Maxwell D. Collins Yukun Zhu Ting Liu Thomas S. Huang Hartwig Adam Liang-Chieh Chen 83 613 0 10 Oct 2019
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 399 3,630 0 20 Aug 2019
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift Petra Bevandić Ivan Kreso Marin Orsic Sinisa Segvic 80 82 0 03 Aug 2019
Detecting the Unexpected via Image Resynthesis Krzysztof Lis Krishna Kanth Nakka Pascal Fua Mathieu Salzmann UQCV 57 178 0 16 Apr 2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation Hermann Blum Paul-Edouard Sarlin Juan I. Nieto Roland Siegwart Cesar Cadena UQCV 68 159 0 05 Apr 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,487 0 11 Dec 2018
Improving Semantic Segmentation via Video Propagation and Label Relaxation Yi Zhu Karan Sapra F. Reda Kevin J. Shih Shawn D. Newsam Andrew Tao Bryan Catanzaro 97 385 0 04 Dec 2018
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers Apoorv Vyas Nataraj Jammalamadaka Xia Zhu Dipankar Das Bharat Kaul Theodore L. Willke OODD 78 247 0 04 Sep 2018
Efficient Uncertainty Estimation for Semantic Segmentation in Videos Po-Yu Huang W. Hsu Chun-Yueh Chiu Tingfan Wu Min Sun BDL UQCV 59 108 0 29 Jul 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 131 882 0 26 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 316 9,815 0 25 Oct 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,877 0 14 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 171 2,082 0 08 Jun 2017
Toward Open-Set Face Recognition Manuel Günther Steve Cruz Ethan M. Rudd Terrance E. Boult CVBM 72 79 0 03 May 2017
Regularizing Neural Networks by Penalizing Confident Output Distributions Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 165 1,141 0 23 Jan 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 847 5,847 0 05 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 179 3,480 0 07 Oct 2016
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles Peter Pinggera Sebastian Ramos S. Gehrig Uwe Franke Carsten Rother Rudolf Mester UQCV 71 192 0 15 Sep 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,654 0 06 Apr 2016
Towards Open Set Deep Networks Abhijit Bendale Terrance Boult BDL EDL 106 1,434 0 19 Nov 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Alex Kendall Vijay Badrinarayanan R. Cipolla UQCV BDL 96 1,066 0 09 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,441 0 18 May 2015
Towards Open World Recognition Abhijit Bendale Terrance Boult 89 568 0 18 Dec 2014