Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

8 June 2017

Papers citing "Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks"

50 / 481 papers shown

Title
Explainable Anomaly Detection in Images and Videos: A Survey Yizhou Wang Dongliang Guo Sheng Li Octavia Camps Yun Fu 42 5 0 13 Feb 2023
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 42 50 0 13 Feb 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration Christian Tomani Futa Waseda Yuesong Shen Daniel Cremers UQCV 39 4 0 10 Feb 2023
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition Jun Cen Di Luan Shiwei Zhang Yixuan Pei Yingya Zhang Deli Zhao Shaojie Shen Qifeng Chen 13 19 0 08 Feb 2023
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection Menglong Chen Xingtai Gui Shicai Fan OODD 18 1 0 06 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 29 9 0 31 Jan 2023
Making Reconstruction-based Method Great Again for Video Anomaly Detection Yizhou Wang Can Qin Yue Bai Yi Xu Xu Ma Yun Fu ViT 37 18 0 28 Jan 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand 39 7 0 24 Jan 2023
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images Zhongzheng Huang Tao Wang Yuanzheng Cai Lingyu Liang 27 0 0 18 Jan 2023
Free Lunch for Generating Effective Outlier Supervision Sen Pei Jiaxi Sun R. Xu Bin Fan Shiming Xiang Gaofeng Meng OODD 44 0 0 17 Jan 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim OODD 33 1 0 11 Jan 2023
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty K. Zou Yidi Chen Ling Huang Xuedong Yuan Xiaojing Shen Meng Wang Rick Siow Mong Goh Yong-Jin Liu Huazhu Fu UQCV 41 4 0 01 Jan 2023
Do Bayesian Variational Autoencoders Know What They Don't Know? Misha Glazunov Apostolis Zarras UQCV BDL 28 5 0 29 Dec 2022
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks Erdong Guo D. Draper Maria de Iorio 44 0 0 27 Dec 2022
Improving group robustness under noisy labels using predictive uncertainty Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin UQCV 25 3 0 14 Dec 2022
Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images Daria Frolova A. Vasiliuk Mikhail Belyaev B. Shirokikh OOD 34 1 0 13 Dec 2022
Block Selection Method for Using Feature Norm in Out-of-distribution Detection Yeonguk Yu Sungho Shin Seongju Lee C. Jun Kyoobin Lee OODD 27 31 0 05 Dec 2022
PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning Jie Hong Shi Qiu Weihong Li Saeed Anwar Mehrtash Harandi Nick Barnes L. Petersson 3DPC 44 6 0 05 Dec 2022
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling Lei Shang Mou-Yue Huang Wuxuan Shi Yuchen Liu Yang Liu Fei Wang Baigui Sun Xuansong Xie Yu Qiao UQCV 24 8 0 02 Dec 2022
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective Yao Zhu YueFeng Chen Xiaodan Li Rong Zhang Hui Xue Xiang Tian Rongxin Jiang Bo Zheng Yao-wu Chen OODD 37 7 0 30 Nov 2022
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning Christopher J. Holder Majid Khonji Jorge Dias Mohamed Bennai 20 0 0 29 Nov 2022
Out-Of-Distribution Detection Is Not All You Need Joris Guérin Kevin Delmas Raul Sena Ferreira Jérémie Guiochet OODD 39 32 0 29 Nov 2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 33 35 0 28 Nov 2022
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network Iordanis Fostiropoulos Laurent Itti 45 1 0 26 Nov 2022
Beyond Mahalanobis-Based Scores for Textual OOD Detection Pierre Colombo Eduardo Dadalto Camara Gomes Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 59 5 0 24 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Yixuan Li VLM OODD 69 161 0 24 Nov 2022
FRE: A Fast Method For Anomaly Detection And Segmentation I. Ndiour Nilesh A. Ahuja Ergin Utku Genc Omesh Tickoo 50 2 0 23 Nov 2022
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text Qianhui Wu Huiqiang Jiang Haonan Yin Börje F. Karlsson Chin-Yew Lin 40 10 0 21 Nov 2022
Towards Realistic Out-of-Distribution Detection: A Novel Evaluation Framework for Improving Generalization in OOD Detection Vahid Reza Khazaie Anthony C. Wong Mohammad Sabokrou OODD 18 2 0 20 Nov 2022
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation Lokesh Veeramacheneni Matias Valdenegro-Toro 3DPC UQCV 35 2 0 11 Nov 2022
IRNet: Iterative Refinement Network for Noisy Partial Label Learning Zheng Lian Ming Xu Lang Chen Guoying Zhao B. Liu Jianhua Tao NoLa 32 4 0 09 Nov 2022
Interpreting deep learning output for out-of-distribution detection Damian J. Matuszewski I. Sintorn OODD 37 1 0 07 Nov 2022
A Theoretical Study on Solving Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL 32 71 0 04 Nov 2022
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors Zaharah Bukhsh Aaqib Saeed OODD 45 9 0 27 Oct 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 44 125 0 26 Oct 2022
Falsehoods that ML researchers believe about OOD detection Andi Zhang Damon J. Wischik OODD 19 6 0 23 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 59 5 0 21 Oct 2022
XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection Sunsheng Gu Vahdat Abdelzad Krzysztof Czarnecki 32 1 0 20 Oct 2022
Pseudo-OOD training for robust language models Dhanasekar Sundararaman Nikhil Mehta Lawrence Carin 25 0 0 17 Oct 2022
Evaluating Out-of-Distribution Performance on Document Image Classifiers Stefan Larson Gordon Lim Yutong Ai David Kuang Kevin Leach OODD OOD 42 18 0 14 Oct 2022
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification Yunhua Zhou Pengyu Wang Peiju Liu Yuxin Wang Xipeng Qiu 36 2 0 13 Oct 2022
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes Yifang Sun Wei Wang OODD 29 5 0 13 Oct 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning Dongmin Park Yooju Shin Jihwan Bang Youngjune Lee Hwanjun Song Jae-Gil Lee 62 25 0 13 Oct 2022
VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation Megh Shukla Roshan Roy Pankaj Singh Shuaib Ahmed Alexandre Alahi 35 12 0 12 Oct 2022
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap Mathias Lechner Ramin Hasani Alexander Amini Tsun-Hsuan Wang T. Henzinger Daniela Rus CML OOD 31 7 0 09 Oct 2022
Boosting Out-of-distribution Detection with Typical Features Yao Zhu YueFeng Chen Chuanlong Xie Xiaodan Li Rong Zhang Hui Xue Xiang Tian Bolun Zheng Yao-wu Chen OODD 86 50 0 09 Oct 2022
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects Kira Maag Robin Shing Moon Chan Svenja Uhlemeyer K. Kowol Hanno Gottschalk 47 19 0 05 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang Wenguan Wang Jiaxu Miao Yi Yang VLM 46 117 0 05 Oct 2022
Out-of-Distribution Detection and Selective Generation for Conditional Language Models Jie Jessie Ren Jiaming Luo Yao-Min Zhao Kundan Krishna Mohammad Saleh Balaji Lakshminarayanan Peter J. Liu OODD 75 98 0 30 Sep 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 32 4 0 26 Sep 2022