Model-Agnostic Few-Shot Open-Set Recognition

18 June 2022

Papers citing "Model-Agnostic Few-Shot Open-Set Recognition"

38 / 38 papers shown

Title
Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 81 36 0 24 Apr 2022
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 226 430 0 12 Oct 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning Krishnateja Killamsetty Xujiang Zhao F. Chen Rishabh K. Iyer 75 84 0 14 Jun 2021
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations Xiangning Chen Cho-Jui Hsieh Boqing Gong ViT 87 328 0 03 Jun 2021
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift Etienne Bennequin Victor Bouvier Myriam Tami Antoine Toubhans C´eline Hudelot 108 13 0 25 May 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 418 2,674 0 04 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 694 6,079 0 29 Apr 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 296 702 0 22 Apr 2021
Learning Placeholders for Open-Set Recognition Da-Wei Zhou Han-Jia Ye De-Chuan Zhan VLM 57 197 0 28 Mar 2021
Few-shot Open-set Recognition by Transformation Consistency Minki Jeong Seokeon Choi Changick Kim 89 50 0 02 Mar 2021
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 124 62 0 14 Dec 2020
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf H. Kervadec Imtiaz Masud Ziko Pablo Piantanida Ismail Ben Ayed Jose Dolz VLM 230 190 0 11 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 657 41,103 0 22 Oct 2020
COPOD: Copula-Based Outlier Detection Zheng Li Yue Zhao N. Botta C. Ionescu Xiyang Hu 67 286 0 20 Sep 2020
Transductive Information Maximization For Few-Shot Learning Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony José Dolz Pablo Piantanida Ismail Ben Ayed VLM 62 79 0 25 Aug 2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning Qing Yu Daiki Ikami Go Irie Kiyoharu Aizawa 62 132 0 22 Jul 2020
Laplacian Regularized Few-Shot Learning Imtiaz Masud Ziko Jose Dolz Eric Granger Ismail Ben Ayed 60 176 0 28 Jun 2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 62 167 0 06 Jun 2020
Few-Shot Open-Set Recognition using Meta-Learning Bo Liu Hao Kang Haoxiang Li G. Hua Nuno Vasconcelos BDL EDL 60 91 0 27 May 2020
Instance Credibility Inference for Few-Shot Learning Yikai Wang C. Xu Chen Liu Li Zhang Yanwei Fu 71 163 0 26 Mar 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification M. Lichtenstein P. Sattigeri Rogerio Feris Raja Giryes Leonid Karlinsky 83 77 0 14 Mar 2020
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks Micah Goldblum Steven Reich Liam H. Fowl Renkun Ni Valeriia Cherepanova Tom Goldstein SSL OffRL 67 75 0 17 Feb 2020
Prototype Rectification for Few-Shot Learning Jinlu Liu Liang Song Yongqiang Qin 78 248 0 25 Nov 2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning Yan Wang Wei-Lun Chao Kilian Q. Weinberger Laurens van der Maaten VLM 69 340 0 12 Nov 2019
Meta-learning algorithms for Few-Shot Computer Vision Etienne Bennequin VLM 59 6 0 30 Sep 2019
A Baseline for Few-Shot Image Classification Guneet Singh Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto 77 580 0 06 Sep 2019
Billion-scale semi-supervised learning for image classification I. Z. Yalniz Hervé Jégou Kan Chen Manohar Paluri D. Mahajan SSL 93 463 0 02 May 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 114 1,767 0 08 Apr 2019
PyOD: A Python Toolbox for Scalable Outlier Detection Yue Zhao Zain Nasrullah Zheng Li 89 724 0 06 Jan 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 127 666 0 10 Dec 2018
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 74 776 0 22 Oct 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 70 1,283 0 02 Mar 2018
Generative OpenMax for Multi-Class Open Set Classification Zongyuan Ge S. Demyanov Zetao Chen R. Garnavi VLM 62 383 0 24 Jul 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 300 8,134 0 15 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 373 7,323 0 13 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Towards Open Set Deep Networks Abhijit Bendale Terrance Boult BDL EDL 104 1,427 0 19 Nov 2015
Fine-Grained Visual Classification of Aircraft Subhransu Maji Esa Rahtu Arno Solin Matthew Blaschko Andrea Vedaldi 123 2,261 0 21 Jun 2013