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Classification-Reconstruction Learning for Open-Set Recognition
v1v2v3 (latest)

Classification-Reconstruction Learning for Open-Set Recognition

11 December 2018
Ryota Yoshihashi
Wen Shao
Rei Kawakami
Shaodi You
M. Iida
T. Naemura
    BDL
ArXiv (abs)PDFHTML

Papers citing "Classification-Reconstruction Learning for Open-Set Recognition"

50 / 151 papers shown
Title
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
87
8
0
11 Apr 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
Improving GAN Training via Feature Space Shrinkage
Improving GAN Training via Feature Space Shrinkage
Haozhe Liu
Wentian Zhang
Bing Li
Haoqian Wu
Nanjun He
Yawen Huang
Yuexiang Li
Guohao Li
Yefeng Zheng
GAN
64
6
0
02 Mar 2023
Membership Inference Attack for Beluga Whales Discrimination
Membership Inference Attack for Beluga Whales Discrimination
Voncarlos Marcelo Araújo
Sébastien Gambs
Clément Chion
Robert Michaud
L. Schneider
H. Lautraite
64
2
0
28 Feb 2023
Deep Simplex Classifier for Maximizing the Margin in Both Euclidean and
  Angular Spaces
Deep Simplex Classifier for Maximizing the Margin in Both Euclidean and Angular Spaces
Hakan Çevikalp
Hasan Saribas
61
5
0
22 Dec 2022
Accurate Open-set Recognition for Memory Workload
Accurate Open-set Recognition for Memory Workload
Jun-Gi Jang
Sooyeon Shim
Vladimir Egay
Jeeyong Lee
J. Park
Suhyun Chae
U. Kang
31
3
0
17 Dec 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
67
1
0
25 Nov 2022
MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration
MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration
Zongyao Lyu
Nolan B. Gutierrez
William J. Beksi
BDL
49
2
0
20 Nov 2022
Subsidiary Prototype Alignment for Universal Domain Adaptation
Subsidiary Prototype Alignment for Universal Domain Adaptation
Jogendra Nath Kundu
Suvaansh Bhambri
Akshay Ravindra Kulkarni
Hiran Sarkar
Varun Jampani
R. Venkatesh Babu
82
23
0
28 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
112
28
0
22 Oct 2022
Few-Shot Continual Active Learning by a Robot
Few-Shot Continual Active Learning by a Robot
Ali Ayub
C. Fendley
CLL
94
30
0
09 Oct 2022
Feature Decoupling in Self-supervised Representation Learning for Open
  Set Recognition
Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition
Jingyun Jia
P. Chan
BDL
54
2
0
28 Sep 2022
A Comprehensive Review of Trends, Applications and Challenges In
  Out-of-Distribution Detection
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection
Navid Ghassemi
E. F. Ersi
AAMLOODD
100
4
0
26 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
86
6
0
23 Sep 2022
Provably Uncertainty-Guided Universal Domain Adaptation
Provably Uncertainty-Guided Universal Domain Adaptation
Yifan Wang
Lin Zhang
Ran Song
Paul L. Rosin
Yibin Li
Wei Emma Zhang
OODUQCV
171
0
0
19 Sep 2022
Measuring Human Perception to Improve Open Set Recognition
Measuring Human Perception to Improve Open Set Recognition
Jingwei Huang
D. Prijatelj
Justin Dulay
Walter J. Scheirer
BDL
109
9
0
08 Sep 2022
Deep Open-Set Recognition for Silicon Wafer Production Monitoring
Deep Open-Set Recognition for Silicon Wafer Production Monitoring
Luca Frittoli
Diego Carrera
B. Rossi
P. Fragneto
Giacomo Boracchi
BDL
78
19
0
30 Aug 2022
Multi-Attribute Open Set Recognition
Multi-Attribute Open Set Recognition
Piyapat Saranrittichai
Chaithanya Kumar Mummadi
Claudia Blaiotta
Mauricio Muñoz
Volker Fischer
90
6
0
14 Aug 2022
UC-OWOD: Unknown-Classified Open World Object Detection
UC-OWOD: Unknown-Classified Open World Object Detection
Zhi-zong Wu
Yue Lu
Xingyu Chen
Zhengxing Wu
Liwen Kang
Junzhi Yu
104
57
0
23 Jul 2022
Towards Accurate Open-Set Recognition via Background-Class
  Regularization
Towards Accurate Open-Set Recognition via Background-Class Regularization
Wonwoong Cho
Jaegul Choo
BDL
74
17
0
21 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
76
33
0
20 Jul 2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis
  in Hyperbolic Geometry
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry
Yawen Cui
Zitong Yu
Wei Peng
Li Liu
CLL
74
13
0
20 Jul 2022
Rectifying Open-set Object Detection: A Taxonomy, Practical
  Applications, and Proper Evaluation
Rectifying Open-set Object Detection: A Taxonomy, Practical Applications, and Proper Evaluation
Yusuke Hosoya
Masanori Suganuma
Takayuki Okatani
ObjD
88
3
0
20 Jul 2022
Few-shot Open-set Recognition Using Background as Unknowns
Few-shot Open-set Recognition Using Background as Unknowns
Nan Song
Chi Zhang
Guosheng Lin
VLMSSL
64
11
0
19 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
Dual Decision Improves Open-Set Panoptic Segmentation
Dual Decision Improves Open-Set Panoptic Segmentation
Hainan Xu
Hao Chen
Lingqiao Liu
Yufei Yin
VLM
79
6
0
06 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
93
60
0
05 Jul 2022
Out-of-Distribution Detection for Long-tailed and Fine-grained Skin
  Lesion Images
Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images
Deval Mehta
Y. Gal
Adrian Bowling
Paul Bonnington
Zongyuan Ge
OODD
61
13
0
30 Jun 2022
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting
Byeonggeun Kim
Seunghan Yang
Inseop Chung
Simyung Chang
68
14
0
28 Jun 2022
What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding
  without Text Inputs
What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs
Tal Shaharabany
Yoad Tewel
Lior Wolf
ObjD
96
16
0
19 Jun 2022
Open-Set Recognition with Gradient-Based Representations
Open-Set Recognition with Gradient-Based Representations
Jinsol Lee
Ghassan AlRegib
VLMBDL
69
9
0
16 Jun 2022
OOD Augmentation May Be at Odds with Open-Set Recognition
OOD Augmentation May Be at Odds with Open-Set Recognition
Mohammad Azizmalayeri
M. Rohban
68
9
0
09 Jun 2022
FuSS: Fusing Superpixels for Improved Segmentation Consistency
FuSS: Fusing Superpixels for Improved Segmentation Consistency
Ian Nunes
M. B. Pereira
Hugo Oliveira
J. A. dos Santos
Marcus Poggi de Aragão
68
0
0
06 Jun 2022
Robust Representation via Dynamic Feature Aggregation
Robust Representation via Dynamic Feature Aggregation
Haozhe Liu
Haoqin Ji
Yuexiang Li
Nanjun He
Haoqian Wu
Feng Liu
Linlin Shen
Yefeng Zheng
AAMLOOD
91
3
0
16 May 2022
Evaluating Uncertainty Calibration for Open-Set Recognition
Evaluating Uncertainty Calibration for Open-Set Recognition
Zongyao Lyu
Nolan B. Gutierrez
William J. Beksi
UQCV
65
0
0
15 May 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution
  Detection
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection
Umar Khalid
Ashkan Esmaeili
Nazmul Karim
Nazanin Rahnavard
OODD
100
14
0
06 Apr 2022
PMAL: Open Set Recognition via Robust Prototype Mining
PMAL: Open Set Recognition via Robust Prototype Mining
Jing Lu
Yunxu Xu
Hao Li
Zhanzhan Cheng
Yi Niu
83
57
0
16 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization
OpenTAL: Towards Open Set Temporal Action Localization
Wentao Bao
Qi Yu
Yu Kong
EDL
74
29
0
10 Mar 2022
Class-Aware Contrastive Semi-Supervised Learning
Class-Aware Contrastive Semi-Supervised Learning
Fan Yang
Kai Wu
Shuyi Zhang
Guannan Jiang
Yong Liu
Feng Zheng
Wei Zhang
Chengjie Wang
Long Zeng
76
101
0
04 Mar 2022
Rethinking Reconstruction Autoencoder-Based Out-of-Distribution
  Detection
Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection
Yibo Zhou
OODD
67
58
0
04 Mar 2022
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning
Rui Shao
Pramuditha Perera
Pong C. Yuen
Vishal M. Patel
AAML
132
32
0
12 Feb 2022
Open-Set Recognition of Breast Cancer Treatments
Open-Set Recognition of Breast Cancer Treatments
Alexander Cao
Diego Klabjan
Yuan Luo
BDLOOD
94
3
0
09 Jan 2022
Learning to Detect Every Thing in an Open World
Learning to Detect Every Thing in an Open World
Kuniaki Saito
Ping Hu
Trevor Darrell
Kate Saenko
ObjDVLM
80
48
0
03 Dec 2021
GB-CosFace: Rethinking Softmax-based Face Recognition from the
  Perspective of Open Set Classification
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification
Lizhe Liu
Mingqiang Chen
Xiaohao Chen
Siyu Zhu
Ping Tan
CVBM
68
4
0
22 Nov 2021
Synthetic Unknown Class Learning for Learning Unknowns
Synthetic Unknown Class Learning for Learning Unknowns
Jaeyeon Jang
70
3
0
15 Nov 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution
  Detection: Solutions and Future Challenges
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
Mohammadreza Salehi
Hossein Mirzaei
Dan Hendrycks
Yixuan Li
M. Rohban
Mohammad Sabokrou
OOD
169
199
0
26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
320
956
0
21 Oct 2021
Spatial Location Constraint Prototype Loss for Open Set Recognition
Spatial Location Constraint Prototype Loss for Open Set Recognition
Ziheng Xia
Ganggang Dong
Penghui Wang
Hongwei Liu
UQCVBDL
80
22
0
21 Oct 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning
  Approach
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
Qitian Wu
Chenxiao Yang
Junchi Yan
67
34
0
09 Oct 2021
A novel network training approach for open set image recognition
A novel network training approach for open set image recognition
Md Tahmid Hossaina
S. Teng
Guojun Lu
Ferdous Sohel
55
0
0
27 Sep 2021
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