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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
A Generalized Unbiased Risk Estimator for Learning with Augmented
  Classes
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes
Senlin Shu
Shuo He
Haobo Wang
Hongxin Wei
Tao Xiang
Lei Feng
11
3
0
12 Jun 2023
Federated Learning for Medical Image Analysis: A Survey
Federated Learning for Medical Image Analysis: A Survey
Hao Guan
Pew-Thian Yap
Andrea Bozoki
Mingxia Liu
FedML
OOD
29
112
0
09 Jun 2023
A Functional Data Perspective and Baseline On Multi-Layer
  Out-of-Distribution Detection
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection
Eduardo Dadalto Camara Gomes
Pierre Colombo
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
OODD
33
2
0
06 Jun 2023
A Data-Driven Measure of Relative Uncertainty for Misclassification
  Detection
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
Eduardo Dadalto Camara Gomes
Marco Romanelli
Georg Pichler
Pablo Piantanida
UQCV
25
5
0
02 Jun 2023
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLM
CLL
69
37
0
30 May 2023
ADD 2023: the Second Audio Deepfake Detection Challenge
ADD 2023: the Second Audio Deepfake Detection Challenge
Jiangyan Yi
Jianhua Tao
Ruibo Fu
Xinrui Yan
Chenglong Wang
...
Zhengqi Wen
Shan Liang
Zheng Lian
Shuai Nie
Haizhou Li
80
93
0
23 May 2023
Survey of Automatic Plankton Image Recognition: Challenges, Existing
  Solutions and Future Perspectives
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
H. Kalviainen
13
11
0
19 May 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
20
17
0
19 May 2023
torchosr -- a PyTorch extension package for Open Set Recognition models
  evaluation in Python
torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in Python
Joanna Komorniczak
Pawel Ksieniewicz
3DV
8
3
0
16 May 2023
Artificial intelligence to advance Earth observation: a perspective
Artificial intelligence to advance Earth observation: a perspective
D. Tuia
Konrad Schindler
Begum Demir
Gustau Camps-Valls
Xiao Xiang Zhu
...
Mihai Datcu
Jorge-Arnulfo Quiané-Ruiz
Volker Markl
Bertrand Le Saux
Rochelle Schneider
28
10
0
15 May 2023
Egocentric Hierarchical Visual Semantics
Egocentric Hierarchical Visual Semantics
L. Erculiani
A. Bontempelli
Andrea Passerini
Fausto Giunchiglia
OCL
17
2
0
09 May 2023
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Hao Lang
Yinhe Zheng
Binyuan Hui
Fei Huang
Yongbin Li
19
4
0
05 May 2023
Incremental Generalized Category Discovery
Incremental Generalized Category Discovery
Bingchen Zhao
Oisin Mac Aodha
CLL
40
12
0
27 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
J. Wang
Omran Alamayreh
B. Tondi
Mauro Barni
CVBM
10
7
0
11 Apr 2023
Learning to Name Classes for Vision and Language Models
Learning to Name Classes for Vision and Language Models
Sarah Parisot
Yongxin Yang
Steven G. McDonagh
VLM
17
10
0
04 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
VLM
AI4CE
24
5
0
31 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
15
2
0
21 Mar 2023
Long-tailed Classification from a Bayesian-decision-theory Perspective
Long-tailed Classification from a Bayesian-decision-theory Perspective
Bolian Li
Ruqi Zhang
27
1
0
10 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
19
2
0
28 Feb 2023
Open Set Action Recognition via Multi-Label Evidential Learning
Open Set Action Recognition via Multi-Label Evidential Learning
Chen Zhao
Dawei Du
A. Hoogs
Christopher Funk
EDL
12
23
0
27 Feb 2023
Latent Class-Conditional Noise Model
Latent Class-Conditional Noise Model
Jiangchao Yao
Bo Han
Zhihan Zhou
Ya-Qin Zhang
Ivor W. Tsang
NoLa
BDL
22
8
0
19 Feb 2023
Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery
Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery
Zhaonan Li
Hongfu Liu
VLM
11
3
0
09 Feb 2023
Continuous Learning for Android Malware Detection
Continuous Learning for Android Malware Detection
Yizheng Chen
Zhoujie Ding
David A. Wagner
29
32
0
08 Feb 2023
A sliced-Wasserstein distance-based approach for
  out-of-class-distribution detection
A sliced-Wasserstein distance-based approach for out-of-class-distribution detection
M. Shifat-E.-Rabbi
A. Rubaiyat
Zhuang Yan
Gustavo K. Rohde
OOD
8
0
0
02 Feb 2023
Open-Set Multi-Source Multi-Target Domain Adaptation
Open-Set Multi-Source Multi-Target Domain Adaptation
Rohit Lal
Arihant Gaur
Aadhithya Iyer
Muhammed Abdullah Shaikh
Ritik Agrawal
6
1
0
02 Feb 2023
Deep Learning for Human Parsing: A Survey
Deep Learning for Human Parsing: A Survey
Xiaomei Zhang
Xiangyu Zhu
Ming Tang
Zhen Lei
3DH
3DV
28
1
0
29 Jan 2023
Hybrid Open-set Segmentation with Synthetic Negative Data
Hybrid Open-set Segmentation with Synthetic Negative Data
Matej Grcić
Sinivsa vSegvić
11
6
0
19 Jan 2023
Attention2Minority: A salient instance inference-based multiple instance
  learning for classifying small lesions in whole slide images
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images
Ziyu Su
Mostafa Rezapour
Usama Sajjad
M. Gürcan
M. Niazi
18
11
0
18 Jan 2023
Facial Misrecognition Systems: Simple Weight Manipulations Force DNNs to
  Err Only on Specific Persons
Facial Misrecognition Systems: Simple Weight Manipulations Force DNNs to Err Only on Specific Persons
I. Zehavi
Roee Nitzan
A. Shamir
AAML
CVBM
17
3
0
08 Jan 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
6
5
0
22 Dec 2022
LidarCLIP or: How I Learned to Talk to Point Clouds
LidarCLIP or: How I Learned to Talk to Point Clouds
Georg Hess
Adam Tonderski
Christoffer Petersson
Kalle AAstrom
Lennart Svensson
DiffM
19
22
0
13 Dec 2022
Siamese Neural Networks for Skin Cancer Classification and New Class
  Detection using Clinical and Dermoscopic Image Datasets
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
25
2
0
12 Dec 2022
Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open
  Set Action Recognition
Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition
Dawei Du
Ameya Shringi
A. Hoogs
Christopher Funk
18
2
0
12 Dec 2022
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for
  Generalized Novel Category Discovery
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery
Shengxiang Zhang
Salman Khan
Zhiqiang Shen
Muzammal Naseer
Guangyi Chen
F. Khan
CLL
VLM
21
58
0
11 Dec 2022
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large
  Language Models
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models
Albert Xu
Xiang Ren
Robin Jia
OODD
14
2
0
28 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
9
2
0
20 Nov 2022
Complementary Labels Learning with Augmented Classes
Complementary Labels Learning with Augmented Classes
Zhongnian Li
Jian Zhang
Mengting Xu
Xinzheng Xu
Daoqiang Zhang
21
1
0
19 Nov 2022
Open-Set Automatic Target Recognition
Open-Set Automatic Target Recognition
Bardia Safaei
VS Vibashan
Celso M. de Melo
Shuowen Hu
Vishal M. Patel
36
8
0
10 Nov 2022
Estimating Soft Labels for Out-of-Domain Intent Detection
Estimating Soft Labels for Out-of-Domain Intent Detection
Hao Lang
Yinhe Zheng
Jian Sun
Feiling Huang
Luo Si
Yongbin Li
28
15
0
10 Nov 2022
A Theoretical Study on Solving Continual Learning
A Theoretical Study on Solving Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
19
70
0
04 Nov 2022
Understanding and Mitigating Overfitting in Prompt Tuning for
  Vision-Language Models
Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models
Cheng Ma
Yang Liu
Jiankang Deng
Lingxi Xie
Weiming Dong
Changsheng Xu
VLM
VPVLM
26
43
0
04 Nov 2022
Class Distribution Monitoring for Concept Drift Detection
Class Distribution Monitoring for Concept Drift Detection
Diego Stucchi
Luca Frittoli
Giacomo Boracchi
49
5
0
16 Oct 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set
  Active Learning
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
Dongmin Park
Yooju Shin
Jihwan Bang
Youngjune Lee
Hwanjun Song
Jae-Gil Lee
54
24
0
13 Oct 2022
Large-Scale Open-Set Classification Protocols for ImageNet
Large-Scale Open-Set Classification Protocols for ImageNet
Jesus Andres Palechor Anacona
Annesha Bhoumik
Manuel Günther
29
7
0
13 Oct 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery
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
36
29
0
09 Oct 2022
A Novel Explainable Out-of-Distribution Detection Approach for Spiking
  Neural Networks
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks
Aitor Martinez Seras
Javier Del Ser
J. Lobo
Pablo Garcia-Bringas
N. Kasabov
OODD
14
1
0
30 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
AAML
OODD
15
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
19
5
0
23 Sep 2022
Two-stage Modeling for Prediction with Confidence
Two-stage Modeling for Prediction with Confidence
Dangxing Chen
OODD
OOD
4
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
53
9
0
08 Sep 2022
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