Towards Open Set Deep Networks

19 November 2015

Terrance Boult

Papers citing "Towards Open Set Deep Networks"

50 / 269 papers shown

Title
Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation Jiawen Xu O. Kao Margret Keuper 22 0 0 19 May 2025
On the Learning with Augmented Class via Forests Fan Xu Wuyang Chen Wei Gao 29 0 0 14 May 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Shenzhi Yang Bin Liang An Liu Lin Gui Xingkai Yao Xiaofang Zhang OODD 75 4 0 18 Apr 2025
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection Bin Zhang Xiaoyang Qu Guokuan Li Jiguang Wan Jianzong Wang VLM 59 0 0 28 Mar 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
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models Nadarasar Bahavan Sachith Seneviratne Saman K. Halgamuge BDL 45 0 0 11 Mar 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 214 0 0 27 Feb 2025
Representation Learning on Out of Distribution in Tabular Data Achmad Ginanjar Xue Li Priyanka Singh Wen Hua LMTD 245 0 0 14 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 49 1 0 05 Feb 2025
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 96 2 0 22 Jan 2025
Familiarity-Based Open-Set Recognition Under Adversarial Attacks Philip Enevoldsen Christian Gundersen Nico Lang Serge Belongie Christian Igel 69 1 0 03 Jan 2025
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios Ning Liao Xiaopeng Zhang Minglu Cao Junchi Yan VPVLM VLM 69 0 0 31 Dec 2024
Open-Set Object Detection By Aligning Known Class Representations Hiran Sarkar Vishal M. Chudasama N. Onoe Pankaj Wasnik Vineeth N. Balasubramanian ObjD 55 5 0 31 Dec 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification Sara Pohland Claire Tomlin UQCV 78 1 0 22 Nov 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 229 1 0 10 Nov 2024
Open World Object Detection: A Survey Yiming Li Yi Wang Wenqian Wang Dan Lin Bingbing Li Kim-Hui Yap ObjD 47 0 0 15 Oct 2024
Multi-Robot Motion Planning with Diffusion Models Yorai Shaoul Itamar Mishani Shivam Vats Jiaoyang Li Maxim Likhachev DiffM 53 6 0 04 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification Lie Ju Siyuan Yan Yukun Zhou Yang Nan Xiaodan Xing Peibo Duan Zongyuan Ge 69 0 0 02 Oct 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 72 3 0 18 Sep 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection Xiang Fang Arvind Easwaran B. Genest 36 4 0 16 Sep 2024
Can OOD Object Detectors Learn from Foundation Models? Jiahui Liu Xin Wen Shizhen Zhao Y. Chen Xiaojuan Qi OODD 48 2 0 08 Sep 2024
ADD 2023: Towards Audio Deepfake Detection and Analysis in the Wild Jiangyan Yi Chu Yuan Zhang Jianhua Tao Chenglong Wang Xinrui Yan Yong Ren Hao Gu Junzuo Zhou 54 1 0 09 Aug 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand OODD 47 1 0 16 Jul 2024
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification Hossam Zawbaa Wael Rashwan Sourav Dutta H. Assem OODD 46 0 0 30 May 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections Maximilian Granz Manuel Heurich Tim Landgraf OODD 51 1 0 27 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations Mohammad Azizmalayeri Ameen Abu-Hanna Giovanni Cina OODD 47 1 0 21 May 2024
Dynamic Against Dynamic: An Open-set Self-learning Framework Haifeng Yang Chuanxing Geng Pong C. Yuen Songcan Chen 44 0 0 27 Apr 2024
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting Yuanyuan Liu Yuxuan Huang Shuyang Liu Yibing Zhan Zijing Chen Zhe Chen VLM 52 1 0 26 Apr 2024
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization Mainak Singha Ankit Jha Shirsha Bose Ashwin Nair Moloud Abdar Biplab Banerjee VLM 65 10 0 31 Mar 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 49 0 0 29 Mar 2024
Open-World Semantic Segmentation Including Class Similarity Matteo Sodano Federico Magistri Lucas Nunes Jens Behley C. Stachniss VLM 42 8 0 12 Mar 2024
$ROG$_{PL}$: Robust Open-Set Graph Learning via Region-Based Prototype Learning$ ROG $_{PL}$ : Robust Open-Set Graph Learning via Region-Based Prototype Learning Qin Zhang Xiaowei Li Jiexin Lu Liping Qiu Shirui Pan Xiaojun Chen Junyang Chen 68 1 0 28 Feb 2024
Predictive Churn with the Set of Good Models J. Watson-Daniels Flavio du Pin Calmon Alexander DÁmour Carol Xuan Long David C. Parkes Berk Ustun 88 7 0 12 Feb 2024
Taking Class Imbalance Into Account in Open Set Recognition Evaluation Joanna Komorniczak Pawel Ksieniewicz 25 1 0 09 Feb 2024
Inconsistency-Based Data-Centric Active Open-Set Annotation Ruiyu Mao Ouyang Xu Yunhui Guo 43 4 0 10 Jan 2024
A Survey on Open-Set Image Recognition Qiulei Dong Qiulei Dong BDL ObjD 34 3 0 25 Dec 2023
Managing the unknown: a survey on Open Set Recognition and tangential areas Marcos Barcina-Blanco J. Lobo Pablo Garcia-Bringas Javier Del Ser VLM 39 2 0 14 Dec 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 28 1 0 23 Nov 2023
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery Sarah Rastegar Hazel Doughty Cees G. M. Snoek 40 16 0 30 Oct 2023
Multi-label Open-set Audio Classification Sripathi Sridhar Mark Cartwright VLM 40 3 0 20 Oct 2023
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection Pei Wang Keqing He Yutao Mou Xiaoshuai Song Yanan Wu Jingang Wang Yunsen Xian Xunliang Cai Weiran Xu 21 3 0 20 Oct 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data Mohammad Azizmalayeri Ameen Abu-Hanna Dirk Kraft OOD 28 5 0 28 Sep 2023
Domain Adaptive Few-Shot Open-Set Learning Debabrata Pal Deeptej More Sai Bhargav Dipesh Tamboli Vaneet Aggarwal Biplab Banerjee 29 2 0 22 Sep 2023
Facing Unknown: Open-World Encrypted Traffic Classification Based on Contrastive Pre-Training Xiang Li Beibei Feng Tianning Zang Shuyuan Zhao Jing Ma 34 4 0 31 Aug 2023
Free Lunch for Gait Recognition: A Novel Relation Descriptor Jilong Wang Saihui Hou Yan Huang Chunshui Cao Xu Liu Yongzhen Huang Tianzhu Zhang Liang Wang CVBM 47 1 0 22 Aug 2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception Jiyoung Lee Seung Wook Kim Seunghyun Won Joonseok Lee Marzyeh Ghassemi James Thorne Jaeseok Choi O.-Kil Kwon Edward Choi 42 1 0 03 Aug 2023
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition Qiulei Dong Hong Wang Qiulei Dong 27 0 0 14 Jul 2023
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds Tianqi Li Guansong Pang Xiao Bai Jingyi Zheng Lei Zhou Xin Ning VLM 45 27 0 07 Jul 2023
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems Manuele Rusci Tinne Tuytelaars 27 5 0 03 Jun 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation Julian Bitterwolf Maximilian Müller Matthias Hein OODD 27 84 0 01 Jun 2023