Reducing Network Agnostophobia

9 November 2018

Terrance E. Boult

Papers citing "Reducing Network Agnostophobia"

50 / 59 papers shown

Title
Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation Jiawen Xu O. Kao Margret Keuper 27 0 0 19 May 2025
The Comparability of Model Fusion to Measured Data in Confuser Rejection Conor Flynn Christopher Ebersole Edmund Zelnio 44 0 0 01 May 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 60 0 0 22 Mar 2025
A Survey of Text Classification Under Class Distribution Shift Adriana Valentina Costache Silviu Florin Gheorghe Eduard Poesina Paul Irofti Radu Tudor Ionescu OOD VLM 65 0 0 18 Feb 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu Jingyang Zhang Yuran Wang C. Zhao 66 3 0 03 Jan 2025
Open-World Semantic Segmentation Including Class Similarity Matteo Sodano Federico Magistri Lucas Nunes Jens Behley C. Stachniss VLM 44 8 0 12 Mar 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery Guangyao Chen Peixi Peng Yangru Huang Mengyue Geng Yonghong Tian CLL MoMe 37 9 0 06 Mar 2024
A Survey on Open-Set Image Recognition Qiulei Dong Qiulei Dong BDL ObjD 39 3 0 25 Dec 2023
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach Zhenbang Du Jiayu An Yunlu Tu Jiahao Hong Dongrui Wu MoE 28 1 0 01 Nov 2023
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP Sungmin Cho Hyunsoo Cho Sang-Woo Lee Junyeob Kim Choonghyun Park Sang-goo Lee Kang Min Yoo Taeuk Kim VLM OOD 53 1 0 23 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 34 12 0 09 Oct 2023
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition Qiulei Dong Hong Wang Qiulei Dong 30 0 0 14 Jul 2023
Beyond AUROC & co. for evaluating out-of-distribution detection performance Galadrielle Humblot-Renaux Sergio Escalera T. Moeslund OODD 22 4 0 26 Jun 2023
Universal Domain Adaptation from Foundation Models: A Baseline Study Bin Deng Kui Jia VLM 34 6 0 18 May 2023
Glocal Energy-based Learning for Few-Shot Open-Set Recognition Haoyu Wang Guansong Pang Peng Wang Lei Zhang Wei Wei Yanning Zhang 27 12 0 24 Apr 2023
Calibrated Out-of-Distribution Detection with a Generic Representation Tomás Vojír Jan Sochman Rahaf Aljundi Juan E. Sala Matas OODD UQCV 29 6 0 23 Mar 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis Yiye Chen Yunzhi Lin Ruinian Xu Patricio A. Vela OODD 37 3 0 14 Mar 2023
Progressive Open Space Expansion for Open-Set Model Attribution Tianyun Yang Danding Wang Fan Tang Xinying Zhao Juan Cao Sheng Tang 36 17 0 13 Mar 2023
Toward Unsupervised Realistic Visual Question Answering Yuwei Zhang Chih-Hui Ho Nuno Vasconcelos CoGe 27 2 0 09 Mar 2023
Mutual Exclusive Modulator for Long-Tailed Recognition Haixu Long Xiaolin Zhang Yanbin Liu Zongtai Luo Jianbo Liu 19 2 0 19 Feb 2023
RMM: Reinforced Memory Management for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 42 93 0 14 Jan 2023
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
PartCom: Part Composition Learning for 3D Open-Set Recognition Tingyu Weng Junhao Xiao Haiyong Jiang 3DPC 13 3 0 20 Nov 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
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble Hyunsoo Cho Choonghyun Park Jaewoo Kang Kang Min Yoo Taeuk Kim Sang-goo Lee OODD 30 8 0 20 Oct 2022
Learning to Discover and Detect Objects V. Fomenko Ismail Elezi Deva Ramanan Laura Leal-Taixé Aljosa Osep ObjD 33 10 0 19 Oct 2022
Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition Jingyun Jia P. Chan BDL 19 2 0 28 Sep 2022
Semantic Driven Energy based Out-of-Distribution Detection Abhishek Joshi Sathish Chalasani K. N. Iyer OODD 44 4 0 23 Aug 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition Matej Grcić Petra Bevandić Sinivsa vSegvić 32 54 0 06 Jul 2022
ViM: Out-Of-Distribution with Virtual-logit Matching Haoqi Wang Zhizhong Li Xue Jiang Wayne Zhang OODD 26 317 0 21 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization Wentao Bao Qi Yu Yu Kong EDL 42 26 0 10 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Eric Wang Gabriel Gozum Yixuan Li OODD 43 91 0 08 Mar 2022
Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference Bangzheng Li Wenpeng Yin Muhao Chen 35 29 0 12 Feb 2022
UMAD: Universal Model Adaptation under Domain and Category Shift Jian Liang Dapeng Hu Jiashi Feng Ran He 36 30 0 16 Dec 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 193 881 0 21 Oct 2021
Spatial Location Constraint Prototype Loss for Open Set Recognition Ziheng Xia Ganggang Dong Penghui Wang Hongwei Liu UQCV BDL 32 18 0 21 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 169 411 0 12 Oct 2021
A novel network training approach for open set image recognition Md Tahmid Hossaina S. Teng Guojun Lu Ferdous Sohel 26 0 0 27 Sep 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification Jedrzej Kozerawski M. Turk VLM MQ 27 5 0 14 Sep 2021
Semantically Coherent Out-of-Distribution Detection Jingkang Yang Haoqi Wang Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang Ziwei Liu OODD 39 127 0 26 Aug 2021
A Survey on Open Set Recognition Atefeh Mahdavi Marco M. Carvalho BDL 29 35 0 18 Aug 2021
Learning Bounds for Open-Set Learning Zhen Fang Jie Lu Anjin Liu Feng Liu Guangquan Zhang 23 61 0 30 Jun 2021
Incremental Deep Neural Network Learning using Classification Confidence Thresholding Justin Leo Jugal Kalita CLL 24 15 0 21 Jun 2021
Opening up Open-World Tracking Yang Liu Idil Esen Zulfikar Jonathon Luiten Achal Dave Deva Ramanan Bastian Leibe Aljosa Osep Laura Leal-Taixé 28 51 0 22 Apr 2021
OpenGAN: Open-Set Recognition via Open Data Generation Shu Kong Deva Ramanan 22 212 0 07 Apr 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 31 332 0 22 Mar 2021
Self-Supervised Features Improve Open-World Learning A. Dhamija T. Ahmad Jonathan Schwan Mohsen Jafarzadeh Chunchun Li Terrance E. Boult SSL 32 13 0 15 Feb 2021
Automatic Open-World Reliability Assessment Mohsen Jafarzadeh T. Ahmad A. Dhamija Chunchun Li Steve Cruz Terrance E. Boult 26 11 0 11 Nov 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 30 146 0 03 Sep 2020
Background Splitting: Finding Rare Classes in a Sea of Background Ravi Teja Mullapudi Fait Poms W. Mark Deva Ramanan Kayvon Fatahalian VLM 37 9 0 28 Aug 2020