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A Closer Look at Few-shot Classification

8 April 2019

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

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Title
Few-Shot Incremental Learning with Continually Evolved Classifiers Chi Zhang Nan Song Guosheng Lin Yun Zheng Pan Pan Yinghui Xu CLL 128 299 0 07 Apr 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark Vincent Dumoulin N. Houlsby Utku Evci Xiaohua Zhai Ross Goroshin Sylvain Gelly Hugo Larochelle 80 26 0 06 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning Xiaoyu Lin Meng Ye Yunye Gong G. Buracas Nikoletta Basiou Ajay Divakaran Yi Yao 113 4 0 01 Apr 2021
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training Yoonhyung Kim Changick Kim 119 8 0 01 Apr 2021
Revisiting Local Descriptor for Improved Few-Shot Classification J. He Richang Hong Xueliang Liu Mingliang Xu Qianru Sun 84 28 0 30 Mar 2021
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval Aneeshan Sain A. Bhunia Yongxin Yang Tao Xiang Yi-Zhe Song 94 82 0 29 Mar 2021
Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection Gongjie Zhang Kaiwen Cui Tzu-Yi Hung Shijian Lu 63 115 0 28 Mar 2021
When Few-Shot Learning Meets Video Object Detection Zhongjie Yu Gaoang Wang Lin Chen S. Raschka Jiebo Luo ObjD 120 1 0 26 Mar 2021
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning Baoquan Zhang Xutao Li Shanshan Feng Yunming Ye Rui Ye 69 43 0 26 Mar 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 93 88 0 25 Mar 2021
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types Thomas Mensink J. Uijlings Alina Kuznetsova Michael Gygli V. Ferrari VLM 117 84 0 24 Mar 2021
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning Ali Ayub Alan R. Wagner CLL 103 12 0 23 Mar 2021
Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation Gongjie Zhang Zhipeng Luo Kaiwen Cui Shijian Lu ViT 82 78 0 22 Mar 2021
Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification Yaohui Li Huaxiong Li Haoxing Chen Chunlin Chen 67 4 0 21 Mar 2021
Multi-level Metric Learning for Few-shot Image Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 70 21 0 21 Mar 2021
CLTA: Contents and Length-based Temporal Attention for Few-shot Action Recognition Yang Bo Yangdi Lu Wenbo He VLM 92 0 0 18 Mar 2021
Distance Metric-Based Learning with Interpolated Latent Features for Location Classification in Endoscopy Image and Video M. Mohebbian K. Wahid Anh-Tuan Dinh P. Babyn 28 0 0 15 Mar 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding Bo Sun Banghuai Li Shengcai Cai Ye Yuan Fangqiu Yi 124 378 0 10 Mar 2021
Analysing Wideband Absorbance Immittance in Normal and Ears with Otitis Media with Effusion Using Machine Learning Emad M. Grais Xiaoya Wang Jie Wang Fei Zhao Wen Jiang Yuexin Cai Lifang Zhang Qingwen Lin Haidi Yang 34 21 0 04 Mar 2021
Few-shot Learning for Slot Tagging with Attentive Relational Network Cennet Oguz Ngoc Thang Vu 44 10 0 03 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 133 114 0 01 Mar 2021
E $^2$ CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning Alperen Görmez Venkateswara Dasari Erdem Koyuncu 35 7 0 01 Mar 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 161 13 0 23 Feb 2021
Learning Compositional Representation for Few-shot Visual Question Answering Dalu Guo Dacheng Tao OOD CoGe 64 4 0 21 Feb 2021
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining Swapnil Bhosale Rupayan Chakraborty Sunil Kumar Kopparapu 18 4 0 16 Feb 2021
Weak Adaptation Learning -- Addressing Cross-domain Data Insufficiency with Weak Annotator Shichao Xu Lixu Wang Yixuan Wang Qi Zhu 76 15 0 15 Feb 2021
Model-Agnostic Graph Regularization for Few-Shot Learning Ethan Shen Maria Brbic Nicholas Monath Jiaqi Zhai Manzil Zaheer J. Leskovec 60 3 0 14 Feb 2021
Domain Adaptation for Time Series Forecasting via Attention Sharing Xiaoyong Jin Youngsuk Park Danielle C. Maddix Bernie Wang Xifeng Yan TTA OOD AI4TS 183 78 0 13 Feb 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning Zhiqiang Shen Zechun Liu Jie Qin Marios Savvides Kwang-Ting Cheng CLL 85 160 0 08 Feb 2021
Sill-Net: Feature Augmentation with Separated Illumination Representation Hanwang Zhang Zhong Cao Ziang Yan Changshui Zhang 112 26 0 06 Feb 2021
Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised Viviane Clay Peter König G. Pipa Kai-Uwe Kühnberger 60 1 0 03 Feb 2021
Meta-learning with negative learning rates A. Bernacchia 63 17 0 01 Feb 2021
Few-shot Image Classification with Multi-Facet Prototypes Kun Yan Zied Bouraoui Ping Wang Shoaib Jameel Steven Schockaert 43 4 0 01 Feb 2021
On Data Efficiency of Meta-learning Maruan Al-Shedivat Liam Li Eric Xing Ameet Talwalkar FedML 64 25 0 30 Jan 2021
Few-Shot Learning for Road Object Detection Anay Majee Kshitij Agrawal A. Subramanian 117 21 0 29 Jan 2021
Combat Data Shift in Few-shot Learning with Knowledge Graph Yongchun Zhu Fuzhen Zhuang Xiangliang Zhang Zhiyuan Qi Zhiping Shi Juan Cao Qing He OOD 75 4 0 27 Jan 2021
Similarity of Classification Tasks Cuong C. Nguyen Thanh-Toan Do G. Carneiro 79 7 0 27 Jan 2021
Supervised Momentum Contrastive Learning for Few-Shot Classification Orchid Majumder Avinash Ravichandran Subhransu Maji Alessandro Achille M. Polito Stefano Soatto SSL 100 12 0 26 Jan 2021
Few-shot Action Recognition with Prototype-centered Attentive Learning Xiatian Zhu Antoine Toisoul Juan-Manuel Prez-Ra Li Zhang Brais Martínez Tao Xiang 91 53 0 20 Jan 2021
Cross-domain few-shot learning with unlabelled data Fupin Yao 63 10 0 19 Jan 2021
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias Stefan Stojanov Anh Thai James M. Rehg 3DPC 71 45 0 18 Jan 2021
Machine learning with limited data Fupin Yao VLM 57 8 0 18 Jan 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 310 331 0 16 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 107 72 0 08 Jan 2021
Few-Shot Learning with Class Imbalance Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 109 37 0 07 Jan 2021
Local Propagation for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard 87 9 0 05 Jan 2021
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier Arkabandhu Chowdhury Mingchao Jiang Swarat Chaudhuri C. Jermaine VLM 104 42 0 03 Jan 2021
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters Mengjie Zhao Yi Zhu Ehsan Shareghi Ivan Vulić Roi Reichart Anna Korhonen Hinrich Schütze 112 64 0 31 Dec 2020
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 59 51 0 26 Dec 2020
Few Shot Learning With No Labels Aditya Bharti V. Balasubramanian C. V. Jawahar VLM 36 3 0 26 Dec 2020