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A Closer Look at Few-shot Classification

8 April 2019

Papers citing "A Closer Look at Few-shot Classification"

50 / 845 papers shown

Title
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 109 65 0 05 May 2022
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification M. Mendez-Ruiz F. Lopez-Tiro Jonathan El Beze V. Estrade Gilberto Ochoa-Ruiz Jacques Hubert Andres Mendez-Vazquez Christian Daul OOD 40 8 0 02 May 2022
Meta-free few-shot learning via representation learning with weight averaging Kuilin Chen Chi-Guhn Lee 56 5 0 26 Apr 2022
Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 83 37 0 24 Apr 2022
Can domain adaptation make object recognition work for everyone? Viraj Prabhu Ramprasaath R. Selvaraju Judy Hoffman Nikhil Naik OOD 62 8 0 23 Apr 2022
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition Satoshi Tsutsui Yanwei Fu David J. Crandall GAN 79 12 0 22 Apr 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 139 5 0 18 Apr 2022
Learning Compositional Representations for Effective Low-Shot Generalization Samarth Mishra Pengkai Zhu Venkatesh Saligrama OCL 56 3 0 17 Apr 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference S. Hu Da Li Jan Stuhmer Minyoung Kim Timothy M. Hospedales 92 197 0 15 Apr 2022
Few-shot Learning with Noisy Labels Kevin J. Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 98 50 0 12 Apr 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 66 6 0 11 Apr 2022
GDC- Generalized Distribution Calibration for Few-Shot Learning Shakti Kumar Hussain Zaidi 77 8 0 11 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 89 172 0 09 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R. Tao Han Zhang Yutong Zheng Marios Savvides 78 20 0 07 Apr 2022
The Self-Optimal-Transport Feature Transform Daniel Shalam Simon Korman OT 65 22 0 06 Apr 2022
$Con$^{2}$DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations$ Con $^{2}$ DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations M. Pérez-Carrasco P. Protopapas Guillermo Cabrera-Vives 68 7 0 04 Apr 2022
Attribute Prototype Network for Any-Shot Learning Wenjia Xu Yongqin Xian Jiuniu Wang Bernt Schiele Zeynep Akata VLM 82 39 0 04 Apr 2022
Matching Feature Sets for Few-Shot Image Classification Arman Afrasiyabi Hugo Larochelle Jean-François Lalonde Christian Gagné VLM 79 75 0 02 Apr 2022
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks Da-Wei Zhou Han-Jia Ye Liang Ma Di Xie Shiliang Pu De-Chuan Zhan CLL 110 127 0 31 Mar 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 99 61 0 29 Mar 2022
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches A. Bhunia Viswanatha Reddy Gajjala Subhadeep Koley Rohit Kundu Aneeshan Sain Tao Xiang Yi-Zhe Song CLL 90 30 0 28 Mar 2022
A Framework of Meta Functional Learning for Regularising Knowledge Transfer Pan Li Yanwei Fu S. Gong 32 0 0 28 Mar 2022
Temporal Transductive Inference for Few-Shot Video Object Segmentation Mennatullah Siam Konstantinos G. Derpanis Richard P. Wildes VOS 78 9 0 27 Mar 2022
Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison Tianying Liu Lu Zhang Yang Wang Jihong Guan Yanwei Fu Jiajia Zhao Shuigeng Zhou ObjD AAML 84 27 0 27 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 103 32 0 25 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks Marcin Sendera Marcin Przewiȩźlikowski Konrad Karanowski Maciej Ziȩba Jacek Tabor Przemysław Spurek VLM 103 29 0 21 Mar 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning Yang He Weihan Liang Dongyang Zhao Hong-Yu Zhou Weifeng Ge Yizhou Yu Wenqiang Zhang ViT 98 46 0 17 Mar 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning Rui Xu Lei Xing Shuai Shao Lifei Zhao Baodi Liu Weifeng Liu Yicong Zhou 104 23 0 15 Mar 2022
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning Yuqian Fu Yu Xie Yanwei Fu Jingjing Chen Yu-Gang Jiang 73 20 0 15 Mar 2022
Self-Promoted Supervision for Few-Shot Transformer Bowen Dong Pan Zhou Shuicheng Yan W. Zuo ViT 79 31 0 14 Mar 2022
Forward Compatible Few-Shot Class-Incremental Learning Da-Wei Zhou Fu Lee Wang Han-Jia Ye Liang Ma Shiliang Pu De-Chuan Zhan CLL 91 184 0 14 Mar 2022
Worst Case Matters for Few-Shot Recognition Minghao Fu Yunhao Cao Jianxin Wu 67 7 0 13 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 114 168 0 07 Mar 2022
Feature Transformation for Cross-domain Few-shot Remote Sensing Scene Classification Qiaoli Chen Zhihao Chen Wei Luo 110 5 0 04 Mar 2022
MetaDT: Meta Decision Tree with Class Hierarchy for Interpretable Few-Shot Learning Baoquan Zhang Hao Jiang Xutao Li Shanshan Feng Yunming Ye Rui Ye 68 4 0 03 Mar 2022
Interpretable Concept-based Prototypical Networks for Few-Shot Learning M. Zarei Majid Komeili 68 4 0 27 Feb 2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search Chunhui Zhang Xiaoming Yuan Qianyun Zhang Guangxu Zhu Lei Cheng Ning Zhang FedML OOD 90 16 0 23 Feb 2022
ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users D. Jain Khoa Nguyen Steven M. Goodman Rachel Grossman-Kahn Hung Ngo Aditya Kusupati Ruofei Du A. Olwal Leah Findlater Jon E. Froehlich 73 30 0 22 Feb 2022
Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning Jiawei Yang Hanbo Chen Jiangpeng Yan Xiaoyu Chen Jianhua Yao VLM 69 22 0 18 Feb 2022
Semantically Proportional Patchmix for Few-Shot Learning Jingquan Wang Jing Xu Yu Pan Zenglin Xu VLM 48 1 0 17 Feb 2022
Spectral Propagation Graph Network for Few-shot Time Series Classification Ling Yang linda Qiao Luxia Zhang 68 2 0 08 Feb 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach Chunwei Ma Ziyun Huang Mingchen Gao Jinhui Xu 61 5 0 05 Feb 2022
Beam Management with Orientation and RSRP using Deep Learning for Beyond 5G Systems Khuong N. Nguyen Anum Ali Jianhua Mo Boon Loong Ng Vutha Va Jianzhong Zhang 50 16 0 04 Feb 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty Jaehoon Oh Sungnyun Kim Namgyu Ho Jin-Hwa Kim Hwanjun Song Se-Young Yun 65 38 0 01 Feb 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information Changbin Li Suraj Kothawade F. Chen Rishabh K. Iyer 68 4 0 30 Jan 2022
The Effect of Diversity in Meta-Learning Ramnath Kumar T. Deleu Yoshua Bengio 76 13 0 27 Jan 2022
Variational Model Inversion Attacks Kuan-Chieh Wang Yanzhe Fu Ke Li Ashish Khisti R. Zemel Alireza Makhzani MIACV 94 98 0 26 Jan 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Yassir Bendou Yuqing Hu Raphael Lafargue G. Lioi Bastien Pasdeloup S. Pateux Vincent Gripon VLM 110 38 0 24 Jan 2022
Distance-Ratio-Based Formulation for Metric Learning Hyeongji Kim P. Parviainen K. Malde 36 1 0 21 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 107 32 0 20 Jan 2022