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OpenGAN: Open-Set Recognition via Open Data Generation

OpenGAN: Open-Set Recognition via Open Data Generation

7 April 2021
Shu Kong
Deva Ramanan
ArXivPDFHTML

Papers citing "OpenGAN: Open-Set Recognition via Open Data Generation"

50 / 117 papers shown
Title
Diversified Outlier Exposure for Out-of-Distribution Detection via
  Informative Extrapolation
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Jianing Zhu
Geng Yu
Jiangchao Yao
Tongliang Liu
Gang Niu
Masashi Sugiyama
Bo Han
OODD
34
30
0
21 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era
AI-Generated Images as Data Source: The Dawn of Synthetic Era
Zuhao Yang
Fangneng Zhan
Kunhao Liu
Muyu Xu
Shijian Lu
EGVM
31
18
0
03 Oct 2023
Don't Miss Out on Novelty: Importance of Novel Features for Deep Anomaly
  Detection
Don't Miss Out on Novelty: Importance of Novel Features for Deep Anomaly Detection
S. Sivaprasad
Mario Fritz
AAML
26
0
0
01 Oct 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection
  in Medical Tabular Data
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data
Mohammad Azizmalayeri
Ameen Abu-Hanna
Dirk Kraft
OOD
28
5
0
28 Sep 2023
Recursive Counterfactual Deconfounding for Object Recognition
Recursive Counterfactual Deconfounding for Object Recognition
Jiaying Sun
Hong Wang
Qiulei Dong
BDL
CML
35
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
49
10
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
35
2
0
19 Sep 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and
  Ignorance
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance
Lei Fan
Bo Liu
Haoxiang Li
Ying Wu
Gang Hua
31
4
0
14 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
21
11
0
03 Sep 2023
LORD: Leveraging Open-Set Recognition with Unknown Data
LORD: Leveraging Open-Set Recognition with Unknown Data
Tobias Koch
Christian Riess
Thomas Köhler
31
2
0
24 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
Jiaying Sun
Hong Wang
Qiulei Dong
25
0
0
14 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
29
0
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
26
4
0
10 Jul 2023
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in
  Open Worlds
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds
Tianqi Li
Guansong Pang
Xiao Bai
Jingyi Zheng
Lei Zhou
Xin Ning
VLM
40
27
0
07 Jul 2023
OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's
  Disease Diagnosis
OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis
Yunyou Huang
Xianglong Guan
Xiangjiang Lu
Xiaoshuan Liang
Xiuxia Miao
...
Wenjing Liu
Li Ma
Suqin Tang
Zhifei Zhang
Jianfeng Zhan
OOD
35
0
0
03 Jul 2023
Partial-label Learning with Mixed Closed-set and Open-set
  Out-of-candidate Examples
Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples
Shuo He
Lei Feng
Guowu Yang
19
1
0
02 Jul 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and
  Generalization
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
Y. Liu
Chris Xing Tian
Haoliang Li
Lei Ma
Shiqi Wang
UQCV
26
19
0
05 Jun 2023
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
Wenyu Jiang
Hao Cheng
Mingcai Chen
Chongjun Wang
Hongxin Wei
OOD
OODD
24
9
0
03 Jun 2023
Improving Knowledge Distillation via Regularizing Feature Norm and
  Direction
Improving Knowledge Distillation via Regularizing Feature Norm and Direction
Yuzhu Wang
Lechao Cheng
Manni Duan
Yongheng Wang
Zunlei Feng
Shu Kong
39
20
0
26 May 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
31
17
0
13 Mar 2023
Hybrid Open-set Segmentation with Synthetic Negative Data
Hybrid Open-set Segmentation with Synthetic Negative Data
Matej Grcić
Sinivsa vSegvić
16
6
0
19 Jan 2023
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
Chao Feng
Ziyang Chen
Andrew Owens
31
71
0
04 Jan 2023
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
34
6
0
05 Dec 2022
Spatial-Temporal Attention Network for Open-Set Fine-Grained Image
  Recognition
Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognition
Jiaying Sun
Hong Wang
Qiulei Dong
3DPC
ViT
16
1
0
25 Nov 2022
Open-Set Object Detection Using Classification-free Object Proposal and
  Instance-level Contrastive Learning
Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning
Zhongxiang Zhou
Yifei Yang
Yue Wang
R. Xiong
ObjD
21
13
0
21 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
13
3
0
20 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
16
2
0
20 Nov 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
45
25
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
28
225
0
13 Oct 2022
Continual Learning with Evolving Class Ontologies
Continual Learning with Evolving Class Ontologies
Zhiqiu Lin
Deepak Pathak
Yu-xiong Wang
Deva Ramanan
Shu Kong
CLL
44
9
0
10 Oct 2022
Your Out-of-Distribution Detection Method is Not Robust!
Your Out-of-Distribution Detection Method is Not Robust!
Mohammad Azizmalayeri
Arshia Soltani Moakhar
Arman Zarei
Reihaneh Zohrabi
M. T. Manzuri
M. Rohban
OODD
41
15
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
23
4
0
26 Sep 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
21
4
0
24 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
Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of
  Wild Animals in Camera-Trap Images
Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of Wild Animals in Camera-Trap Images
Jeongsoo Kim
Sangmin Woo
Byeongjun Park
Changick Kim
30
2
0
31 Aug 2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection
Probing Contextual Diversity for Dense Out-of-Distribution Detection
Silvio Galesso
M. A. Bravo
Mehdi Naouar
Thomas Brox
21
4
0
30 Aug 2022
Semantic Driven Energy based Out-of-Distribution Detection
Semantic Driven Energy based Out-of-Distribution Detection
Abhishek Joshi
Sathish Chalasani
K. N. Iyer
OODD
32
4
0
23 Aug 2022
Curved Geometric Networks for Visual Anomaly Recognition
Curved Geometric Networks for Visual Anomaly Recognition
Jie Hong
Pengfei Fang
Weihao Li
Junlin Han
L. Petersson
Mehrtash Harandi
31
6
0
02 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
3DPC
3DV
30
7
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
25
31
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
30
2
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
VLM
SSL
26
10
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
Jiaying Sun
Qiulei Dong
22
0
0
13 Jul 2022
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
Zhuo Huang
Xiaobo Xia
Li Shen
Bo Han
Biwei Huang
Chen Gong
Tongliang Liu
OODD
38
46
0
07 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
39
58
0
05 Jul 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
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
38
15
0
19 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
16
9
0
09 Jun 2022
OneRing: A Simple Method for Source-free Open-partial Domain Adaptation
OneRing: A Simple Method for Source-free Open-partial Domain Adaptation
Shiqi Yang
Yaxing Wang
Kai Wang
Shangling Jui
Joost van de Weijer
25
0
0
07 Jun 2022
Exploring the Open World Using Incremental Extreme Value Machines
Exploring the Open World Using Incremental Extreme Value Machines
Tobias Koch
Felix Liebezeit
Christian Riess
Vincent Christlein
Thomas Köhler
VLM
26
3
0
30 May 2022
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