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Recent Advances in Open Set Recognition: A Survey

Recent Advances in Open Set Recognition: A Survey

21 November 2018
Chuanxing Geng
Sheng-Jun Huang
Songcan Chen
    BDL
    ObjD
ArXivPDFHTML

Papers citing "Recent Advances in Open Set Recognition: A Survey"

50 / 275 papers shown
Title
Towards Open Set Video Anomaly Detection
Towards Open Set Video Anomaly Detection
Yuansheng Zhu
Wentao Bao
Qi Yu
EDL
19
23
0
23 Aug 2022
Multi-Attribute Open Set Recognition
Multi-Attribute Open Set Recognition
Piyapat Saranrittichai
Chaithanya Kumar Mummadi
Claudia Blaiotta
Mauricio Muñoz
Volker Fischer
27
6
0
14 Aug 2022
Automatically Discovering Novel Visual Categories with Self-supervised
  Prototype Learning
Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning
Lu Zhang
Lu Qi
Xu Yang
Hong Qiao
Ming Yang
Zhiyong Liu
SSL
38
3
0
01 Aug 2022
Deep Fidelity in DNN Watermarking: A Study of Backdoor Watermarking for
  Classification Models
Deep Fidelity in DNN Watermarking: A Study of Backdoor Watermarking for Classification Models
Guang Hua
Andrew Beng Jin Teoh
22
13
0
01 Aug 2022
Novel Class Discovery without Forgetting
Novel Class Discovery without Forgetting
K. J. Joseph
S. Paul
Gaurav Aggarwal
Soma Biswas
Piyush Rai
Kai Han
V. Balasubramanian
CLL
54
43
0
21 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
14
17
0
21 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
25
11
0
20 Jul 2022
Open-world Semantic Segmentation via Contrasting and Clustering
  Vision-Language Embedding
Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding
Quan Liu
Youpeng Wen
Jianhua Han
Chunjing Xu
Hang Xu
Xiaodan Liang
VLM
20
67
0
18 Jul 2022
Plex: Towards Reliability using Pretrained Large Model Extensions
Plex: Towards Reliability using Pretrained Large Model Extensions
Dustin Tran
J. Liu
Michael W. Dusenberry
Du Phan
Mark Collier
...
D. Sculley
Y. Gal
Zoubin Ghahramani
Jasper Snoek
Balaji Lakshminarayanan
VLM
39
124
0
15 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
Jiaying Sun
Qiulei Dong
17
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
24
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
34
58
0
05 Jul 2022
Comparative Analysis of State-of-the-Art Deep Learning Models for
  Detecting COVID-19 Lung Infection from Chest X-Ray Images
Comparative Analysis of State-of-the-Art Deep Learning Models for Detecting COVID-19 Lung Infection from Chest X-Ray Images
Zeba Ghaffar
Pir Masoom Shah
Hikmat Khan
Syed Farhan Alam Zaidi
Abdullah Gani
I. Khan
M. A. Shah
S. M. Fakhrul Islam
25
3
0
01 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
19
13
0
30 Jun 2022
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection Benchmark
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
41
296
0
19 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
32
0
0
06 Jun 2022
Delving into the Openness of CLIP
Delving into the Openness of CLIP
Shuhuai Ren
Lei Li
Xuancheng Ren
Guangxiang Zhao
Xu Sun
VLM
25
13
0
04 Jun 2022
Open-environment Machine Learning
Open-environment Machine Learning
Zhi-Hua Zhou
VLM
37
133
0
01 Jun 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental
  Learning
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
29
122
0
26 May 2022
Open Vocabulary Extreme Classification Using Generative Models
Open Vocabulary Extreme Classification Using Generative Models
Daniel Simig
Fabio Petroni
Pouya Yanki
Kashyap Popat
Christina Du
Sebastian Riedel
Majid Yazdani
VLM
26
16
0
12 May 2022
Stochastic Coherence Over Attention Trajectory For Continuous Learning
  In Video Streams
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams
Matteo Tiezzi
Simone Marullo
Lapo Faggi
Enrico Meloni
Alessandro Betti
S. Melacci
22
7
0
26 Apr 2022
Learning to Prompt for Open-Vocabulary Object Detection with
  Vision-Language Model
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model
Yu Du
Fangyun Wei
Zihe Zhang
Miaojing Shi
Yue Gao
Guoqi Li
VPVLM
VLM
26
322
0
28 Mar 2022
Continual Learning Based on OOD Detection and Task Masking
Continual Learning Based on OOD Detection and Task Masking
Gyuhak Kim
Sepideh Esmaeilpour
Changnan Xiao
Bing-Quan Liu
OODD
CLL
24
17
0
17 Mar 2022
Is it all a cluster game? -- Exploring Out-of-Distribution Detection
  based on Clustering in the Embedding Space
Is it all a cluster game? -- Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space
Poulami Sinhamahapatra
Rajat Koner
Karsten Roscher
Stephan Günnemann
OODD
11
5
0
16 Mar 2022
Learning Discriminative Representations and Decision Boundaries for Open
  Intent Detection
Learning Discriminative Representations and Decision Boundaries for Open Intent Detection
Hanlei Zhang
Huan Xu
Shaojie Zhao
Qianrui Zhou
27
18
0
11 Mar 2022
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive
  Recognition of Cereal Grains
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains
Lei Fan
Yiwen Ding
Dongdong Fan
Donglin Di
M. Pagnucco
Yang Song
AI4TS
29
19
0
10 Mar 2022
Towards Open-Set Text Recognition via Label-to-Prototype Learning
Towards Open-Set Text Recognition via Label-to-Prototype Learning
Chang-rui Liu
Chun Yang
Haibo Qin
Xiaobin Zhu
Cheng-Lin Liu
Xu-Cheng Yin
VLM
11
34
0
10 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization
OpenTAL: Towards Open Set Temporal Action Localization
Wentao Bao
Qi Yu
Yu Kong
EDL
30
26
0
10 Mar 2022
Conditional Reconstruction for Open-set Semantic Segmentation
Conditional Reconstruction for Open-set Semantic Segmentation
Ian Nunes
M. B. Pereira
Hugo Oliveira
J. A. dos Santos
Marcus Poggi de Aragão
ISeg
VLM
15
7
0
02 Mar 2022
Addressing Randomness in Evaluation Protocols for Out-of-Distribution
  Detection
Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection
Konstantin Kirchheim
Tim Gonschorek
F. Ortmeier
OODD
28
2
0
01 Mar 2022
Confident AI
Confident AI
Jim Davis
16
2
0
12 Feb 2022
The Met Dataset: Instance-level Recognition for Artworks
The Met Dataset: Instance-level Recognition for Artworks
Nikolaos-Antonios Ypsilantis
Noa Garcia
G. Han
Sarah Ibrahimi
Nanne van Noord
Giorgos Tolias
33
43
0
03 Feb 2022
Distance-Ratio-Based Formulation for Metric Learning
Distance-Ratio-Based Formulation for Metric Learning
Hyeongji Kim
P. Parviainen
K. Malde
11
1
0
21 Jan 2022
Active Learning for Open-set Annotation
Active Learning for Open-set Annotation
Kun-Peng Ning
Xun Zhao
Yu Li
Sheng-Jun Huang
11
35
0
18 Jan 2022
Language-driven Semantic Segmentation
Language-driven Semantic Segmentation
Boyi Li
Kilian Q. Weinberger
Serge Belongie
V. Koltun
René Ranftl
VLM
78
601
0
10 Jan 2022
Open-Set Recognition of Breast Cancer Treatments
Open-Set Recognition of Breast Cancer Treatments
Alexander Cao
Diego Klabjan
Yuan Luo
BDL
OOD
32
1
0
09 Jan 2022
Dense Out-of-Distribution Detection by Robust Learning on Synthetic
  Negative Data
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data
Matej Grcić
Petra Bevandić
Zoran Kalafatić
Sinivsa vSegvić
21
10
0
23 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
11
4
0
22 Nov 2021
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
Andra Acsintoae
Andrei Florescu
Mariana-Iuliana Georgescu
Tudor Mare
Paul Sumedrea
Radu Tudor Ionescu
F. Khan
M. Shah
AI4TS
30
86
0
16 Nov 2021
Unsupervised detection and open-set classification of fast-ramped
  flexibility activation events
Unsupervised detection and open-set classification of fast-ramped flexibility activation events
Nils Müller
C. Heinrich
K. Heussen
H. Bindner
AI4CE
32
3
0
03 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
38
191
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
188
879
0
21 Oct 2021
Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural
  Networks
Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks
Z. Ge
Xin Wang
26
7
0
21 Oct 2021
Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis --
  and What to Use Instead
Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis -- and What to Use Instead
Kamil Szyc
T. Walkowiak
H. Maciejewski
OODD
19
0
0
13 Oct 2021
Open-set Classification of Common Waveforms Using A Deep Feed-forward
  Network and Binary Isolation Forest Models
Open-set Classification of Common Waveforms Using A Deep Feed-forward Network and Binary Isolation Forest Models
C. T. Fredieu
A. Martone
R. M. Buehrer
15
4
0
01 Oct 2021
Conditional Extreme Value Theory for Open Set Video Domain Adaptation
Conditional Extreme Value Theory for Open Set Video Domain Adaptation
Zhuoxiao Chen
Yadan Luo
Mahsa Baktash
29
10
0
01 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CML
OOD
55
517
0
31 Aug 2021
Open Set RF Fingerprinting using Generative Outlier Augmentation
Open Set RF Fingerprinting using Generative Outlier Augmentation
Samurdhi Karunaratne
Samer S. Hanna
D. Cabric
10
9
0
30 Aug 2021
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization
  for Out-of-Domain Detection
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
Iftitahu Ni'mah
Meng Fang
Vlado Menkovski
Mykola Pechenizkiy
32
5
0
27 Aug 2021
Recognition Awareness: An Application of Latent Cognizance to Open-Set
  Recognition
Recognition Awareness: An Application of Latent Cognizance to Open-Set Recognition
Tatpong Katanyukul
Pisit Nakjai
BDL
19
1
0
27 Aug 2021
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