The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition

8 February 2023

Jun Cen

Shaojie Shen

Papers citing "The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition"

37 / 37 papers shown

Title
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 174 1 0 22 Mar 2025
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data Guoxuan Xia C. Bouganis OODD 35 29 0 15 Jul 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 170 512 0 13 Apr 2022
Generative Cooperative Learning for Unsupervised Video Anomaly Detection M. Zaheer Arif Mahmood M. H. Khan Mattia Segu Feng Yu Seung-Ik Lee AI4TS 73 134 0 08 Mar 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 179 472 0 26 Jan 2022
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks Adam Goodge Bryan Hooi See Kiong Ng Wee Siong Ng 40 108 0 10 Dec 2021
A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks Jihyo Kim Jiin Koo Sangheum Hwang UQCV 36 20 0 01 Dec 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 215 424 0 12 Oct 2021
NGC: A Unified Framework for Learning with Open-World Noisy Data Zhi-Fan Wu Tong Wei Jianwen Jiang Chaojie Mao Mingqian Tang Yu-Feng Li 39 83 0 25 Aug 2021
Robust outlier detection by de-biasing VAE likelihoods Kushal Chauhan Barath Mohan Umapathi Pradeep Shenoy Manish Gupta D. Sridharan DRL 62 10 0 19 Aug 2021
Evidential Deep Learning for Open Set Action Recognition Wentao Bao Qi Yu Yu Kong CML EDL 82 139 0 21 Jul 2021
An Effective Baseline for Robustness to Distributional Shift S. Thulasidasan Sushil Thapa S. Dhaubhadel Gopinath Chennupati Tanmoy Bhattacharya J. Bilmes OOD OODD 60 27 0 15 May 2021
Learning Placeholders for Open-Set Recognition Da-Wei Zhou Han-Jia Ye De-Chuan Zhan VLM 43 196 0 28 Mar 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 66 339 0 22 Mar 2021
Learning Open Set Network with Discriminative Reciprocal Points Guangyao Chen Limeng Qiao Yemin Shi Peixi Peng Jia Li Tiejun Huang Shiliang Pu Yonghong Tian UQCV EDL 38 193 0 31 Oct 2020
Confidence-Aware Learning for Deep Neural Networks J. Moon Jihyo Kim Younghak Shin Sangheum Hwang UQCV 57 149 0 03 Jul 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 254 1,204 0 24 Dec 2019
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding Mathew Monfort Bowen Pan K. Ramakrishnan A. Andonian Barry A. McNamara A. Lascelles Quanfu Fan Dan Gutfreund Rogerio Feris A. Oliva VLM 73 68 0 01 Nov 2019
Addressing Failure Prediction by Learning Model Confidence Charles Corbière Nicolas Thome Avner Bar-Hen Matthieu Cord P. Pérez 94 287 0 01 Oct 2019
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy Qing Yu Kiyoharu Aizawa OODD 45 166 0 14 Aug 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 142 1,156 0 10 Apr 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 67 726 0 28 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 161 1,475 0 11 Dec 2018
TSM: Temporal Shift Module for Efficient Video Understanding Ji Lin Chuang Gan Song Han 85 1,683 0 20 Nov 2018
BAR: Bayesian Activity Recognition using variational inference R. Krishnan Mahesh Subedar S. Bhatnagar BDL UQCV 31 20 0 08 Nov 2018
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers Yonatan Geifman Guy Uziel Ran El-Yaniv UQCV 54 140 0 21 May 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 77 586 0 13 Feb 2018
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 241 5,812 0 14 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 137 2,061 0 08 Jun 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset João Carreira Andrew Zisserman 219 7,989 0 22 May 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 133 3,441 0 07 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Towards Open Set Deep Networks Abhijit Bendale Terrance Boult BDL EDL 101 1,420 0 19 Nov 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 67 2,331 0 10 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 642 9,290 0 06 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.3K 100,213 0 04 Sep 2014
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild K. Soomro Amir Zamir M. Shah CLIP VGen 115 6,134 0 03 Dec 2012