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Learning Placeholders for Open-Set Recognition

Learning Placeholders for Open-Set Recognition

28 March 2021
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
    VLM
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Papers citing "Learning Placeholders for Open-Set Recognition"

41 / 41 papers shown
Title
TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment
TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment
Zehao Wang
Yang Zhou
Jinhai Xiang
Yanjie Wang
Xinwei He
VLM
47
0
0
05 May 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
Yu Wang
Junxian Mu
Hongzhi Huang
Qilong Wang
Pengfei Zhu
Q. Hu
57
0
0
22 Mar 2025
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models
Nadarasar Bahavan
Sachith Seneviratne
Saman K. Halgamuge
BDL
45
0
0
11 Mar 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
Chen-Chen Zong
Sheng-Jun Huang
EDL
92
0
0
27 Feb 2025
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
Ning Liao
Xiaopeng Zhang
Minglu Cao
Junchi Yan
VPVLM
VLM
66
0
0
31 Dec 2024
Open-Set Object Detection By Aligning Known Class Representations
Open-Set Object Detection By Aligning Known Class Representations
Hiran Sarkar
Vishal M. Chudasama
N. Onoe
Pankaj Wasnik
Vineeth N. Balasubramanian
ObjD
49
5
0
31 Dec 2024
Dynamic Against Dynamic: An Open-set Self-learning Framework
Dynamic Against Dynamic: An Open-set Self-learning Framework
Haifeng Yang
Chuanxing Geng
Pong C. Yuen
Songcan Chen
39
0
0
27 Apr 2024
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open
  Domain Generalization
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
Mainak Singha
Ankit Jha
Shirsha Bose
Ashwin Nair
Moloud Abdar
Biplab Banerjee
VLM
60
10
0
31 Mar 2024
A Survey on Open-Set Image Recognition
A Survey on Open-Set Image Recognition
Jiaying Sun
Qiulei Dong
BDL
ObjD
34
3
0
25 Dec 2023
Open Domain Generalization with a Single Network by Regularization
  Exploiting Pre-trained Features
Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features
Inseop Chung
Kiyoon Yoo
Nojun Kwak
VLM
16
0
0
08 Dec 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
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
VendorLink: An NLP approach for Identifying & Linking Vendor Migrants &
  Potential Aliases on Darknet Markets
VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets
V. Saxena
Nils Rethmeier
Gijs Van Dijck
Gerasimos Spanakis
26
6
0
04 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
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set
  Recognition
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition
Jun Cen
Di Luan
Shiwei Zhang
Yixuan Pei
Yingya Zhang
Deli Zhao
Shaojie Shen
Qifeng Chen
11
19
0
08 Feb 2023
Open-Set Likelihood Maximization for Few-Shot Learning
Open-Set Likelihood Maximization for Few-Shot Learning
Malik Boudiaf
Etienne Bennequin
Myriam Tami
Antoine Toubhans
Pablo Piantanida
C´eline Hudelot
Ismail Ben Ayed
BDL
34
10
0
20 Jan 2023
Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning
Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning
Hojin Park
Jaewoo Park
Andrew Beng Jin Teoh
CVBM
35
2
0
05 Jan 2023
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
16
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
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
37
15
0
10 Nov 2022
Towards Generalized Few-Shot Open-Set Object Detection
Towards Generalized Few-Shot Open-Set Object Detection
Binyi Su
Hua Zhang
Jingzhi Li
Zhongjun Zhou
51
9
0
28 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
19
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
AAML
OODD
23
4
0
26 Sep 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
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
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
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
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
123
0
26 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
35
1
0
15 May 2022
Learning to Classify Open Intent via Soft Labeling and Manifold Mixup
Learning to Classify Open Intent via Soft Labeling and Manifold Mixup
Zifeng Cheng
Zhiwei Jiang
Yafeng Yin
Cong Wang
Qing Gu
VLM
16
13
0
16 Apr 2022
Expanding Low-Density Latent Regions for Open-Set Object Detection
Expanding Low-Density Latent Regions for Open-Set Object Detection
Jiaming Han
Yuqiang Ren
Jian Ding
Xingjia Pan
Ke Yan
Guisong Xia
ObjD
40
59
0
28 Mar 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
Choubo Ding
Guansong Pang
Chunhua Shen
OOD
24
112
0
28 Mar 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
29
53
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
30
26
0
10 Mar 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
PyCIL: A Python Toolbox for Class-Incremental Learning
PyCIL: A Python Toolbox for Class-Incremental Learning
Da-Wei Zhou
Fu Lee Wang
Han-Jia Ye
De-Chuan Zhan
CLL
43
93
0
23 Dec 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
Co-Transport for Class-Incremental Learning
Co-Transport for Class-Incremental Learning
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
30
73
0
27 Jul 2021
Collective Decision of One-vs-Rest Networks for Open Set Recognition
Collective Decision of One-vs-Rest Networks for Open Set Recognition
Jaeyeon Jang
Chang Ouk Kim
35
25
0
18 Mar 2021
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition
Shiyuan Huang
Jiawei Ma
G. Han
Shih-Fu Chang
BDL
33
19
0
24 Dec 2020
Conditional Gaussian Distribution Learning for Open Set Recognition
Conditional Gaussian Distribution Learning for Open Set Recognition
Xin Sun
Zhen Yang
Chi Zhang
Guohao Peng
K. Ling
BDL
UQCV
155
216
0
19 Mar 2020
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