Few-Shot Open-Set Recognition using Meta-Learning

27 May 2020

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

46 / 46 papers shown

Title
Few-shot Novel Category Discovery Chunming Li Shidong Wang Haofeng Zhang 31 0 0 13 May 2025
A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains Andrea Gajic Sudip Vhaduri OOD VLM 51 0 0 05 Apr 2025
MetaXCR: Reinforcement-Based Meta-Transfer Learning for Cross-Lingual Commonsense Reasoning Jie He Yu Fu OffRL LRM 60 2 0 09 Mar 2025
Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set Recognition Zhenyu Zhang Guangyao Chen Yixiong Zou Yuhua Li Ruixuan Li UQCV 31 0 0 23 Aug 2024
Towards Few-Shot Learning in the Open World: A Review and Beyond Hui Xue Yuexuan An Yongchun Qin Wenqian Li Yixin Wu Yongjuan Che Pengfei Fang Minling Zhang OffRL 46 1 0 19 Aug 2024
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits Mateusz Ochal Massimiliano Patacchiola Malik Boudiaf Sen Wang 35 0 0 04 Aug 2024
A Comprehensive Review of Few-shot Action Recognition Yuyang Wanyan Xiaoshan Yang Weiming Dong Changsheng Xu VLM 63 3 0 20 Jul 2024
Unveiling the Unknown: Conditional Evidence Decoupling for Unknown Rejection Zhaowei Wu Binyi Su Hua Zhang Zhong Zhou EDL 44 0 0 26 Jun 2024
Know Yourself Better: Diverse Discriminative Feature Learning Improves Open Set Recognition Jiawen Xu 21 0 0 16 Apr 2024
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 VLM MLLM 46 0 0 31 Mar 2024
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 24 18 0 03 Jan 2024
A Survey on Open-Set Image Recognition Jiaying Sun Qiulei Dong BDL ObjD 30 3 0 25 Dec 2023
Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback Boaz Lerner N. Darshan Rami Ben-Ari 21 1 0 18 Dec 2023
Domain Adaptive Few-Shot Open-Set Learning Debabrata Pal Deeptej More Sai Bhargav Dipesh Tamboli Vaneet Aggarwal Biplab Banerjee 24 2 0 22 Sep 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance Lei Fan Bo Liu Haoxiang Li Ying Wu Gang Hua 12 4 0 14 Sep 2023
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds Tianqi Li Guansong Pang Xiao Bai Jingyi Zheng Lei Zhou Xin Ning VLM 37 27 0 07 Jul 2023
Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples Shuo He Lei Feng Guowu Yang 11 1 0 02 Jul 2023
Learning from Pixels with Expert Observations M. Hoang Long Dinh Hai V. Nguyen OffRL 30 2 0 24 Jun 2023
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems Manuele Rusci Tinne Tuytelaars 22 5 0 03 Jun 2023
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution Neeraj Varshney Himanshu Gupta Eric Robertson Bin Liu Chitta Baral 19 1 0 08 May 2023
Glocal Energy-based Learning for Few-Shot Open-Set Recognition Haoyu Wang Guansong Pang Peng Wang Lei Zhang Wei Wei Yanning Zhang 13 12 0 24 Apr 2023
A Survey of Deep Visual Cross-Domain Few-Shot Learning Wenjian Wang Lijuan Duan Yuxi Wang Junsong Fan Zhi Gong Zhaoxiang Zhang 19 5 0 16 Mar 2023
Meta-learning approaches for few-shot learning: A survey of recent advances Hassan Gharoun Fereshteh Momenifar Fang Chen Amir H. Gandomi OOD VLM 44 43 0 13 Mar 2023
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 26 10 0 20 Jan 2023
Towards Generalized Few-Shot Open-Set Object Detection Binyi Su Hua Zhang Jingzhi Li Zhongjun Zhou 43 9 0 28 Oct 2022
One-Shot Open-Set Skeleton-Based Action Recognition Stefano Berti Andrea Rosasco Michele Colledanchise Lorenzo Natale 21 2 0 09 Sep 2022
SIAD: Self-supervised Image Anomaly Detection System Jiawei Li Chengxiao Luo Xinyi Zhang Bolin Jiang Yuqiu Xie Naiqi Li Y. Liu Yaowei Li Enze Huo Bin Chen 55 1 0 08 Aug 2022
Few-shot Open-set Recognition Using Background as Unknowns Nan Song Chi Zhang Guosheng Lin VLM SSL 18 10 0 19 Jul 2022
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting Byeonggeun Kim Seunghan Yang Inseop Chung Simyung Chang 22 14 0 28 Jun 2022
Model-Agnostic Few-Shot Open-Set Recognition Malik Boudiaf Etienne Bennequin Myriam Tami C´eline Hudelot Antoine Toubhans Pablo Piantanida Ismail Ben Ayed BDL 14 1 0 18 Jun 2022
Persian Natural Language Inference: A Meta-learning approach Heydar Soudani Mohammadreza Mojab H. Beigy 32 1 0 18 May 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 24 59 0 29 Mar 2022
Language-driven Semantic Segmentation Boyi Li Kilian Q. Weinberger Serge J. Belongie V. Koltun René Ranftl VLM 43 600 0 10 Jan 2022
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 25 190 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 179 875 0 21 Oct 2021
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 34 37 0 18 Oct 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification Jedrzej Kozerawski M. Turk VLM MQ 13 5 0 14 Sep 2021
Reconstruction guided Meta-learning for Few Shot Open Set Recognition Sayak Nag Dripta S. Raychaudhuri S. Paul A. Roy-Chowdhury 16 7 0 31 Jul 2021
Bayesian Embeddings for Few-Shot Open World Recognition John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone Steven Waslander BDL OffRL 20 18 0 29 Jul 2021
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery I. Sledge Christopher Toole J. Maestri José C. Príncipe 34 1 0 22 Jul 2021
Few-shot Open-set Recognition by Transformation Consistency Minki Jeong Seokeon Choi Changick Kim 41 49 0 02 Mar 2021
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition Shiyuan Huang Jiawei Ma G. Han Shih-Fu Chang BDL 19 19 0 24 Dec 2020
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 25 1 0 01 Oct 2020
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization Yangbin Chen Yun Ma Tom Ko Jianping Wang Qing Li VLM 12 8 0 29 Sep 2020
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 284 11,681 0 09 Mar 2017