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Adversarial Reciprocal Points Learning for Open Set Recognition
v1v2v3 (latest)

Adversarial Reciprocal Points Learning for Open Set Recognition

1 March 2021
Guangyao Chen
Peixi Peng
Xiangqian Wang
Yonghong Tian
ArXiv (abs)PDFHTML

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

50 / 120 papers shown
Title
All Beings Are Equal in Open Set Recognition
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
A Survey on Open-Set Image Recognition
Qiulei Dong
Qiulei Dong
BDLObjD
92
7
0
25 Dec 2023
Towards Open-set Gesture Recognition via Feature Activation Enhancement
  and Orthogonal Prototype Learning
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
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
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
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
OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning
Jiawen Xu
Claas Grohnfeldt
O. Kao
BDLCLL
57
2
0
05 Oct 2023
OOD Aware Supervised Contrastive Learning
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
Recursive Counterfactual Deconfounding for Object Recognition
Qiulei Dong
Hong Wang
Qiulei Dong
BDLCML
75
0
0
25 Sep 2023
LMC: Large Model Collaboration with Cross-assessment for Training-Free
  Open-Set Object Recognition
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization
Masashi Noguchi
Shinichi Shirakawa
VLMAI4CE
68
5
0
31 Mar 2023
Calibrated Out-of-Distribution Detection with a Generic Representation
Calibrated Out-of-Distribution Detection with a Generic Representation
Tomás Vojír
Jan Sochman
Rahaf Aljundi
Juan E. Sala Matas
OODDUQCV
79
8
0
23 Mar 2023
On the link between generative semi-supervised learning and generative
  open-set recognition
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
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
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
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
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
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
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
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
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
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
Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognition
Qiulei Dong
Hong Wang
Qiulei Dong
3DPCViT
62
1
0
25 Nov 2022
PartCom: Part Composition Learning for 3D Open-Set Recognition
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?
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
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
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
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
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
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
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds
A. Alliegro
Francesco Cappio Borlino
Tatiana Tommasi
3DPC3DV
105
8
0
23 Jul 2022
Difficulty-Aware Simulator for Open Set Recognition
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
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
Class-Specific Semantic Reconstruction for Open Set Recognition
Hongzhi Huang
Yu Wang
Qinghua Hu
Mingg-Ming Cheng
BDL
91
60
0
05 Jul 2022
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