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Few-Shot Open-Set Recognition using Meta-Learning
v1v2 (latest)

Few-Shot Open-Set Recognition using Meta-Learning

Computer Vision and Pattern Recognition (CVPR), 2020
27 May 2020
Bo Liu
Hao Kang
Haoxiang Li
G. Hua
Nuno Vasconcelos
    BDLEDL
ArXiv (abs)PDFHTML

Papers citing "Few-Shot Open-Set Recognition using Meta-Learning"

50 / 50 papers shown
Novel Category Discovery with X-Agent Attention for Open-Vocabulary Semantic Segmentation
Novel Category Discovery with X-Agent Attention for Open-Vocabulary Semantic Segmentation
Jiahao Li
Yang Lu
Yachao Zhang
Fangyong Wang
Yuan Xie
Yanyun Qu
VLM
189
1
0
01 Sep 2025
Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering
Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering
Chun Liu
Chen Zhang
Ruoyao Xiao
Zheng Li
Wei Yang
VLM
126
0
0
25 Aug 2025
Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning
Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning
Jiawen Xu
O. Kao
BDLCLL
188
0
0
18 Aug 2025
Few-Shot Generalized Category Discovery With Retrieval-Guided Decision Boundary Enhancement
Few-Shot Generalized Category Discovery With Retrieval-Guided Decision Boundary EnhancementInternational Conference on Multimedia Retrieval (ICMR), 2025
Yunhan Ren
Feng Luo
Siyu Huang
358
0
0
20 Jun 2025
Hyperbolic Dual Feature Augmentation for Open-Environment
Peilin Yu
Yuwei Wu
Zhi Gao
Xiaomeng Fan
Shuo Yang
Yunde Jia
296
1
0
10 Jun 2025
Few-shot Novel Category Discovery
Few-shot Novel Category DiscoveryInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Chunming Li
Shidong Wang
Haofeng Zhang
291
0
0
13 May 2025
A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains
A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains
Andrea Gajic
Sudip Vhaduri
OODVLM
439
1
0
05 Apr 2025
MetaXCR: Reinforcement-Based Meta-Transfer Learning for Cross-Lingual Commonsense Reasoning
MetaXCR: Reinforcement-Based Meta-Transfer Learning for Cross-Lingual Commonsense Reasoning
Jie He
Yu Fu
OffRLLRM
380
2
0
09 Mar 2025
Learning Unknowns from Unknowns: Diversified Negative Prototypes
  Generator for Few-Shot Open-Set Recognition
Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set RecognitionACM Multimedia (MM), 2024
Zhenyu Zhang
Guangyao Chen
Yixiong Zou
Yuhua Li
Ruixuan Li
UQCV
339
6
0
23 Aug 2024
Towards Few-Shot Learning in the Open World: A Review and Beyond
Towards Few-Shot Learning in the Open World: A Review and BeyondIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Hui Xue
Yuexuan An
Yongchun Qin
Wenqian Li
Yixin Wu
Yongjuan Che
Pengfei Fang
Minling Zhang
OffRL
273
2
0
19 Aug 2024
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier
  Logits
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits
Mateusz Ochal
Massimiliano Patacchiola
Malik Boudiaf
Sen Wang
291
1
0
04 Aug 2024
A Comprehensive Review of Few-shot Action Recognition
A Comprehensive Review of Few-shot Action Recognition
Yuyang Wanyan
Xiaoshan Yang
Weiming Dong
Changsheng Xu
VLM
618
15
0
20 Jul 2024
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
Zhaowei Wu
Binyi Su
Qichuan Geng
Hua Zhang
Zhong Zhou
EDL
626
0
0
26 Jun 2024
Know Yourself Better: Diverse Object-Related Features Improve Open Set Recognition
Know Yourself Better: Diverse Object-Related Features Improve Open Set Recognition
Jiawen Xu
Margret Keuper
248
1
0
16 Apr 2024
LLM meets Vision-Language Models for Zero-Shot One-Class Classification
LLM meets Vision-Language Models for Zero-Shot One-Class Classification
Yassir Bendou
G. Lioi
Bastien Pasdeloup
Lukas Mauch
G. B. Hacene
Fabien Cardinaux
Vincent Gripon
VLMMLLM
426
1
0
31 Mar 2024
Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach
Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach
M. Bajracharya
James Borders
Richard Cheng
D. Helmick
Lukas Kaul
...
Frank Michel
Chavdar Papazov
Josh Petersen
K. Shankar
Mark Tjersland
360
27
0
03 Jan 2024
A Survey on Open-Set Image Recognition
A Survey on Open-Set Image Recognition
Qiulei Dong
Qiulei Dong
BDLObjD
263
14
0
25 Dec 2023
Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback
Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback
Boaz Lerner
N. Darshan
Rami Ben-Ari
240
2
0
18 Dec 2023
Domain Adaptive Few-Shot Open-Set Learning
Domain Adaptive Few-Shot Open-Set LearningIEEE International Conference on Computer Vision (ICCV), 2023
Debabrata Pal
Deeptej More
Sai Bhargav
Dipesh Tamboli
Vaneet Aggarwal
Biplab Banerjee
285
12
0
22 Sep 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and
  Ignorance
Flexible Visual Recognition by Evidential Modeling of Confusion and IgnoranceIEEE International Conference on Computer Vision (ICCV), 2023
Lei Fan
Bo Liu
Haoxiang Li
Ying Wu
Gang Hua
271
7
0
14 Sep 2023
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in
  Open Worlds
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open WorldsPattern Recognition (Pattern Recogn.), 2023
Tianqi Li
Guansong Pang
Xiao Bai
Jingyi Zheng
Lei Zhou
Xin Ning
VLM
328
38
0
07 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 ExamplesKnowledge Discovery and Data Mining (KDD), 2023
Shuo He
Lei Feng
Guowu Yang
315
1
0
02 Jul 2023
Learning from Pixels with Expert Observations
Learning from Pixels with Expert ObservationsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
M. Hoang
Long Dinh
Hai V. Nguyen
OffRL
468
3
0
24 Jun 2023
Few-Shot Open-Set Learning for On-Device Customization of KeyWord
  Spotting Systems
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting SystemsInterspeech (Interspeech), 2023
Manuele Rusci
Tinne Tuytelaars
243
13
0
03 Jun 2023
A Unified Evaluation Framework for Novelty Detection and Accommodation
  in NLP with an Instantiation in Authorship Attribution
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship AttributionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Neeraj Varshney
Himanshu Gupta
Eric Robertson
Yinan Han
Chitta Baral
218
1
0
08 May 2023
Glocal Energy-based Learning for Few-Shot Open-Set Recognition
Glocal Energy-based Learning for Few-Shot Open-Set RecognitionComputer Vision and Pattern Recognition (CVPR), 2023
Haoyu Wang
Guansong Pang
Peng Wang
Lei Zhang
Wei Wei
Yanning Zhang
192
29
0
24 Apr 2023
A Survey of Deep Visual Cross-Domain Few-Shot Learning
A Survey of Deep Visual Cross-Domain Few-Shot Learning
Wenjian Wang
Lijuan Duan
Yuxi Wang
Junsong Fan
Zhi Gong
Zhaoxiang Zhang
293
7
0
16 Mar 2023
Meta-learning approaches for few-shot learning: A survey of recent
  advances
Meta-learning approaches for few-shot learning: A survey of recent advancesACM Computing Surveys (ACM Comput. Surv.), 2023
Hassan Gharoun
Fereshteh Momenifar
Fang Chen
Amir H. Gandomi
OODVLM
333
166
0
13 Mar 2023
Open-Set Likelihood Maximization for Few-Shot Learning
Open-Set Likelihood Maximization for Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2023
Malik Boudiaf
Etienne Bennequin
Myriam Tami
Antoine Toubhans
Pablo Piantanida
C´eline Hudelot
Ismail Ben Ayed
BDL
284
20
0
20 Jan 2023
Towards Generalized Few-Shot Open-Set Object Detection
Towards Generalized Few-Shot Open-Set Object DetectionIEEE Transactions on Image Processing (IEEE TIP), 2022
Binyi Su
Qichuan Geng
Jingzhi Li
Zhongjun Zhou
394
17
0
28 Oct 2022
One-Shot Open-Set Skeleton-Based Action Recognition
One-Shot Open-Set Skeleton-Based Action RecognitionIEEE-RAS International Conference on Humanoid Robots (Humanoids), 2022
Stefano Berti
Andrea Rosasco
Michele Colledanchise
Lorenzo Natale
212
4
0
09 Sep 2022
SIAD: Self-supervised Image Anomaly Detection System
SIAD: Self-supervised Image Anomaly Detection System
Jiawei Li
Chengxiao Luo
Xinyi Zhang
Bolin Jiang
Yuqiu Xie
Naiqi Li
Wenshu Fan
Yaowei Li
Enze Huo
Bin Chen
337
1
0
08 Aug 2022
Few-shot Open-set Recognition Using Background as Unknowns
Few-shot Open-set Recognition Using Background as UnknownsACM Multimedia (ACM MM), 2022
Nan Song
Chi Zhang
Guosheng Lin
VLMSSL
240
18
0
19 Jul 2022
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting
Dummy Prototypical Networks for Few-Shot Open-Set Keyword SpottingInterspeech (Interspeech), 2022
Byeonggeun Kim
Seunghan Yang
Inseop Chung
Simyung Chang
236
18
0
28 Jun 2022
Model-Agnostic Few-Shot Open-Set Recognition
Model-Agnostic Few-Shot Open-Set Recognition
Malik Boudiaf
Etienne Bennequin
Myriam Tami
C´eline Hudelot
Antoine Toubhans
Pablo Piantanida
Ismail Ben Ayed
BDL
241
1
0
18 Jun 2022
Persian Natural Language Inference: A Meta-learning approach
Persian Natural Language Inference: A Meta-learning approachInternational Conference on Computational Linguistics (COLING), 2022
Heydar Soudani
Mohammadreza Mojab
H. Beigy
236
1
0
18 May 2022
Integrative Few-Shot Learning for Classification and Segmentation
Integrative Few-Shot Learning for Classification and SegmentationComputer Vision and Pattern Recognition (CVPR), 2022
Dahyun Kang
Minsu Cho
VLM
304
80
0
29 Mar 2022
Language-driven Semantic Segmentation
Language-driven Semantic SegmentationInternational Conference on Learning Representations (ICLR), 2022
Boyi Li
Kilian Q. Weinberger
Serge Belongie
V. Koltun
René Ranftl
VLM
399
857
0
10 Jan 2022
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
Shouqing Yang
M. Rohban
Mohammad Sabokrou
OOD
765
235
0
26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A SurveyInternational Journal of Computer Vision (IJCV), 2021
Jingkang Yang
Kaiyang Zhou
Shouqing Yang
Ziwei Liu
928
1,329
0
21 Oct 2021
Squeezing Backbone Feature Distributions to the Max for Efficient
  Few-Shot Learning
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
Yuqing Hu
Vincent Gripon
S. Pateux
200
40
0
18 Oct 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set
  Classification
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification
Jedrzej Kozerawski
M. Turk
VLMMQ
202
5
0
14 Sep 2021
Reconstruction guided Meta-learning for Few Shot Open Set Recognition
Reconstruction guided Meta-learning for Few Shot Open Set Recognition
Sayak Nag
Dripta S. Raychaudhuri
S. Paul
Amit K. Roy-Chowdhury
454
15
0
31 Jul 2021
Bayesian Embeddings for Few-Shot Open World Recognition
Bayesian Embeddings for Few-Shot Open World RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
John Willes
James Harrison
Ali Harakeh
Chelsea Finn
Marco Pavone
Steven Waslander
BDLOffRL
251
24
0
29 Jul 2021
External-Memory Networks for Low-Shot Learning of Targets in
  Forward-Looking-Sonar Imagery
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery
I. Sledge
Christopher Toole
J. Maestri
José C. Príncipe
258
1
0
22 Jul 2021
Few-shot Open-set Recognition by Transformation Consistency
Few-shot Open-set Recognition by Transformation ConsistencyComputer Vision and Pattern Recognition (CVPR), 2021
Minki Jeong
Seokeon Choi
Changick Kim
219
67
0
02 Mar 2021
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition
Task-Adaptive Negative Envision for Few-Shot Open-Set RecognitionComputer Vision and Pattern Recognition (CVPR), 2020
Shiyuan Huang
Jiawei Ma
G. Han
Shih-Fu Chang
BDL
393
33
0
24 Dec 2020
Using Unlabeled Data for Increasing Low-Shot Classification Accuracy of
  Relevant and Open-Set Irrelevant Images
Using Unlabeled Data for Increasing Low-Shot Classification Accuracy of Relevant and Open-Set Irrelevant Images
Spiridon Kasapis
Gengning Zhang
J. Smereka
N. Vlahopoulos
BDL
514
1
0
01 Oct 2020
MetaMix: Improved Meta-Learning with Interpolation-based Consistency
  Regularization
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization
Yangbin Chen
Yun Ma
Tom Ko
Jianping Wang
Qing Li
VLM
202
10
0
29 Sep 2020
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
1.5K
5,156
0
17 Feb 2017
1
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