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Adversarial Reciprocal Points Learning for Open Set Recognition

1 March 2021

Yonghong Tian

Papers citing "Adversarial Reciprocal Points Learning for Open Set Recognition"

50 / 120 papers shown

Title
All Beings Are Equal in Open Set Recognition Chaohua Li Enhao Zhang Chuanxing Geng Songcan Chen 73 2 0 31 Jan 2024
A Survey on Open-Set Image Recognition Qiulei Dong Qiulei Dong BDL ObjD 92 7 0 25 Dec 2023
Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning Chen Liu Can Han Chengfeng Zhou C. Cai Suncheng Xiang Hualiang Ni Xiaobo Li 78 2 0 05 Dec 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 69 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 128 17 0 30 Oct 2023
SNOiC: Soft Labeling and Noisy Mixup based Open Intent Classification Model Aditi Kanwar A. Seetha S. Chouhan R. Niyogi 116 0 0 11 Oct 2023
OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning Jiawen Xu Claas Grohnfeldt O. Kao BDL CLL 57 2 0 05 Oct 2023
OOD Aware Supervised Contrastive Learning Soroush Seifi Daniel Olmeda Reino N. Chumerin Rahaf Aljundi OODD 118 2 0 03 Oct 2023
Recursive Counterfactual Deconfounding for Object Recognition Qiulei Dong Hong Wang Qiulei Dong BDL CML 75 0 0 25 Sep 2023
LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition Haoxuan Qu Xiaofei Hui Yujun Cai Jun Liu 128 11 0 22 Sep 2023
Latent Space Energy-based Model for Fine-grained Open Set Recognition Wentao Bao Qi Yu Yu Kong BDL 69 2 0 19 Sep 2023
Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation Lucas Fernando Alvarenga e Silva N. Sebe Jurandy Almeida 32 3 0 16 Sep 2023
Understanding the limitations of self-supervised learning for tabular anomaly detection Kimberly T. Mai Toby O. Davies Lewis D. Griffin SSL 69 0 0 15 Sep 2023
SOAR: Scene-debiasing Open-set Action Recognition Yuanhao Zhai Ziyi Liu Zhenyu Wu Yi Wu Chunluan Zhou David Doermann Junsong Yuan Gang Hua 86 12 0 03 Sep 2023
Prototype Fission: Closing Set for Robust Open-set Semi-supervised Learning Xuwei Tan Yi-Jie Huang Yaqian Li 131 2 0 29 Aug 2023
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization Xiran Wang Jian Zhang Lei Qi Yinghuan Shi 90 20 0 18 Aug 2023
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition Qiulei Dong Hong Wang Qiulei Dong 102 0 0 14 Jul 2023
Reject option models comprising out-of-distribution detection Vojtech Franc D. Prusa Jakub Paplhám OODD 17 2 0 11 Jul 2023
Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology Guillaume Vray Devavrat Tomar Jean-Philippe Thiran Behzad Bozorgtabar MedIm 74 1 0 10 Jul 2023
Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis Mingyuan Liu Lu Xu Jicong Zhang 73 5 0 10 Jul 2023
OpenNDD: Open Set Recognition for Neurodevelopmental Disorders Detection J. Yu Zihao Guan Xinyue Chang Shujie Liu Zhen-zhong Shi Xiumei Liu Changcai Yang Riqing Chen Lanyan Xue Lifang Wei 49 0 0 28 Jun 2023
Open-Set RF Fingerprinting via Improved Prototype Learning Weidong Wang H. Liao Lu Gan 43 0 0 24 Jun 2023
Embrace Limited and Imperfect Training Datasets: Opportunities and Challenges in Plant Disease Recognition Using Deep Learning Mingle Xu H. Kim Jucheng Yang A. Fuentes Yao Meng Sook Yoon Taehyun Kim D. Park 77 20 0 19 May 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery Shaozhe Hao Kai Han Kwan-Yee K. Wong 94 18 0 14 Apr 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective Reza Averly Wei-Lun Chao OODD 82 14 0 13 Apr 2023
Open Set Classification of GAN-based Image Manipulations via a ViT-based Hybrid Architecture Jun Wang Omran Alamayreh B. Tondi Mauro Barni CVBM 77 8 0 11 Apr 2023
Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization Masashi Noguchi Shinichi Shirakawa VLM AI4CE 68 5 0 31 Mar 2023
Calibrated Out-of-Distribution Detection with a Generic Representation Tomás Vojír Jan Sochman Rahaf Aljundi Juan E. Sala Matas OODD UQCV 79 8 0 23 Mar 2023
On the link between generative semi-supervised learning and generative open-set recognition E. Engelbrecht Johan A. du Preez GAN 80 2 0 21 Mar 2023
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning Sungnyun Kim Sangmin Bae Se-Young Yun 135 11 0 20 Mar 2023
Progressive Open Space Expansion for Open-Set Model Attribution Tianyun Yang Danding Wang Fan Tang Xinying Zhao Juan Cao Sheng Tang 80 17 0 13 Mar 2023
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway Guangyao Chen Peixi Peng Guoqi Li Yonghong Tian 120 27 0 27 Jan 2023
Hybrid Open-set Segmentation with Synthetic Negative Data Matej Grcić Sinivsa vSegvić 93 6 0 19 Jan 2023
Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition Dong-Kyun Han Dong-Young Kim Geun-Deok Jang BDL 40 0 0 19 Jan 2023
On Advantages of Mask-level Recognition for Outlier-aware Segmentation Matej Grcić Josip vSarić Sinivsa vSegvić UQCV 166 34 0 09 Jan 2023
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation S. Hur Inkyu Shin Kwanyong Park Sanghyun Woo In So Kweon 107 10 0 16 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 105 7 0 05 Dec 2022
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network Iordanis Fostiropoulos Laurent Itti 83 1 0 26 Nov 2022
Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognition Qiulei Dong Hong Wang Qiulei Dong 3DPC ViT 62 1 0 25 Nov 2022
PartCom: Part Composition Learning for 3D Open-Set Recognition Tingyu Weng Junhao Xiao Haiyong Jiang 3DPC 48 3 0 20 Nov 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 144 133 0 26 Oct 2022
OpenAUC: Towards AUC-Oriented Open-Set Recognition Zitai Wang Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang MQ 102 28 0 22 Oct 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection Jingkang Yang Pengyun Wang Dejian Zou Zitang Zhou Kun Ding ... Kaiyang Zhou Wayne Zhang Dan Hendrycks Yixuan Li Ziwei Liu OODD 93 245 0 13 Oct 2022
Raising the Bar on the Evaluation of Out-of-Distribution Detection Jishnu Mukhoti Tsung-Yu Lin Bor-Chun Chen Ashish Shah Philip Torr P. Dokania Ser-Nam Lim OODD 52 4 0 24 Sep 2022
Understanding Open-Set Recognition by Jacobian Norm and Inter-Class Separation Jaewoo Park Hojin Park Eunju Jeong Andrew Beng Jin Teoh 79 6 0 23 Sep 2022
Multi-Attribute Open Set Recognition Piyapat Saranrittichai Chaithanya Kumar Mummadi Claudia Blaiotta Mauricio Muñoz Volker Fischer 85 6 0 14 Aug 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 3DV 105 8 0 23 Jul 2022
Difficulty-Aware Simulator for Open Set Recognition WonJun Moon Junho Park Hyun Seok Seong Cheol-Ho Cho Jae-Pil Heo 71 33 0 20 Jul 2022
Orthogonal-Coding-Based Feature Generation for Transductive Open-Set Recognition via Dual-Space Consistent Sampling Qiulei Dong Qiulei Dong 32 0 0 13 Jul 2022
Class-Specific Semantic Reconstruction for Open Set Recognition Hongzhi Huang Yu Wang Qinghua Hu Mingg-Ming Cheng BDL 91 60 0 05 Jul 2022