Towards Open Set Deep Networks

19 November 2015

Terrance Boult

Papers citing "Towards Open Set Deep Networks"

50 / 269 papers shown

Title
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 35 10 0 26 May 2023
Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future Perspectives T. Eerola Daniel Batrakhanov Nastaran Vatankhah Barazandeh K. Kraft Lumi Haraguchi L. Lensu S. Suikkanen Jukka Seppälä T. Tamminen Heikki Kälviäinen 28 11 0 19 May 2023
torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in Python Joanna Komorniczak Pawel Ksieniewicz 3DV 10 3 0 16 May 2023
HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication Luke Puppo Weng-Keen Wong B. Hamdaoui Abdurrahman Elmaghbub 18 4 0 16 May 2023
MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition Jingcai Guo Yuanyuan Xu Wenchao Xu Yufeng Zhan Yuxia Sun Song Guo 50 12 0 02 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
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery Shaozhe Hao Kai Han Kwan-Yee K. Wong 53 16 0 14 Apr 2023
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing M. Hasan Moloud Abdar Abbas Khosravi U. Aickelin Pietro Lio Ibrahim Hossain Ashikur Rahman Saeid Nahavandi 40 4 0 11 Apr 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 119 31 0 24 Mar 2023
AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection Puning Yang Jian Liang Jie Cao Ran He 41 12 0 22 Mar 2023
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning Sungnyun Kim Sangmin Bae Se-Young Yun 22 9 0 20 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 31 17 0 13 Mar 2023
Non-Parametric Outlier Synthesis Leitian Tao Xuefeng Du Xiaojin Zhu Yixuan Li OODD 28 98 0 06 Mar 2023
Membership Inference Attack for Beluga Whales Discrimination Voncarlos Marcelo Araújo Sébastien Gambs Clément Chion Robert Michaud L. Schneider H. Lautraite 33 2 0 28 Feb 2023
Mutual Exclusive Modulator for Long-Tailed Recognition Haixu Long Xiaolin Zhang Yanbin Liu Zongtai Luo Jianbo Liu 19 2 0 19 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 11 19 0 08 Feb 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand 39 7 0 24 Jan 2023
Open-Set Likelihood Maximization for Few-Shot Learning Malik Boudiaf Etienne Bennequin Myriam Tami Antoine Toubhans Pablo Piantanida C´eline Hudelot Ismail Ben Ayed BDL 34 10 0 20 Jan 2023
Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning Hojin Park Jaewoo Park Andrew Beng Jin Teoh CVBM 35 2 0 05 Jan 2023
Vocabulary-informed Zero-shot and Open-set Learning Yanwei Fu Xiaomei Wang Hanze Dong Yu-Gang Jiang Meng Wang Xiangyang Xue Leonid Sigal VLM 26 18 0 03 Jan 2023
DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning Sandipan Sarma Arijit Sur VLM 29 1 0 31 Dec 2022
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets Michael Luke Battle Amir Atapour-Abarghouei A. Mcgough 38 2 0 12 Dec 2022
InternVideo: General Video Foundation Models via Generative and Discriminative Learning Yi Wang Kunchang Li Yizhuo Li Yinan He Bingkun Huang ... Junting Pan Jiashuo Yu Yali Wang Limin Wang Yu Qiao VLM VGen 57 311 0 06 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 41 6 0 05 Dec 2022
VLG: General Video Recognition with Web Textual Knowledge Jintao Lin Zhaoyang Liu Wenhai Wang Wayne Wu Limin Wang 39 0 0 03 Dec 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
Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning Zhongxiang Zhou Yifei Yang Yue Wang R. Xiong ObjD 21 13 0 21 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
PartCom: Part Composition Learning for 3D Open-Set Recognition Tingyu Weng Junhao Xiao Haiyong Jiang 3DPC 13 3 0 20 Nov 2022
Estimating Soft Labels for Out-of-Domain Intent Detection Hao Lang Yinhe Zheng Jian Sun Feiling Huang Luo Si Yongbin Li 45 15 0 10 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
Learning to Discover and Detect Objects V. Fomenko Ismail Elezi Deva Ramanan Laura Leal-Taixé Aljosa Osep ObjD 33 10 0 19 Oct 2022
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning Yutao Mou Pei Wang Keqing He Yanan Wu Jingang Wang Wei Wu Weiran Xu 24 6 0 19 Oct 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery Xinwei Zhang Jianwen Jiang Yutong Feng Zhi-Fan Wu Xibin Zhao Hai Wan Mingqian Tang Rong Jin Yue Gao CLL 43 29 0 09 Oct 2022
Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition Jingyun Jia P. Chan BDL 19 2 0 28 Sep 2022
Deep Open-Set Recognition for Silicon Wafer Production Monitoring Luca Frittoli Diego Carrera B. Rossi P. Fragneto Giacomo Boracchi BDL 24 19 0 30 Aug 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson Tobias Fischer Feras Dayoub Dimity Miller Niko Sünderhauf OODD 31 29 0 29 Aug 2022
Semantic Driven Energy based Out-of-Distribution Detection Abhishek Joshi Sathish Chalasani K. N. Iyer OODD 44 4 0 23 Aug 2022
FedOS: using open-set learning to stabilize training in federated learning M. Mohamad Julian Neubert Juan Segundo Argayo FedML 11 2 0 22 Aug 2022
Open Long-Tailed Recognition in a Dynamic World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 46 18 0 17 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios G. Carneiro 28 2 0 17 Aug 2022
OpenCon: Open-world Contrastive Learning Yiyou Sun Yixuan Li VLM SSL DRL 59 39 0 04 Aug 2022
Visual Recognition by Request Chufeng Tang Lingxi Xie Xiaopeng Zhang Xiaolin Hu Qi Tian VLM 16 15 0 28 Jul 2022
UC-OWOD: Unknown-Classified Open World Object Detection Zhi-zong Wu Yue Lu Xingyu Chen Zhengxing Wu Liwen Kang Junzhi Yu 17 55 0 23 Jul 2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry Yawen Cui Zitong Yu Wei Peng Li Liu CLL 35 11 0 20 Jul 2022
Rectifying Open-set Object Detection: A Taxonomy, Practical Applications, and Proper Evaluation Yusuke Hosoya Masanori Suganuma Takayuki Okatani ObjD 38 2 0 20 Jul 2022
Dual Decision Improves Open-Set Panoptic Segmentation Hainan Xu Hao Chen Lingqiao Liu Yufei Yin VLM 26 6 0 06 Jul 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 39 114 0 28 Jun 2022
Automatic Bounding Box Annotation with Small Training Data Sets for Industrial Manufacturing Manuela Geiß R. Wagner Martin Baresch Josef Steiner Michaela Zwick ObjD 19 7 0 01 Jun 2022