A Closer Look at Few-shot Classification

8 April 2019

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

50 / 843 papers shown

Title
Revisiting Local Descriptor for Improved Few-Shot Classification J. He Richang Hong Xueliang Liu Mingliang Xu Qianru Sun 24 24 0 30 Mar 2021
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval Aneeshan Sain A. Bhunia Yongxin Yang Tao Xiang Yi-Zhe Song 8 79 0 29 Mar 2021
Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection Gongjie Zhang Kaiwen Cui Tzu-Yi Hung Shijian Lu 24 110 0 28 Mar 2021
When Few-Shot Learning Meets Video Object Detection Zhongjie Yu Gaoang Wang Lin Chen S. Raschka Jiebo Luo ObjD 39 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 27 41 0 26 Mar 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 30 84 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 43 81 0 24 Mar 2021
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning Ali Ayub Alan R. Wagner CLL 19 11 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 23 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 32 4 0 21 Mar 2021
Multi-level Metric Learning for Few-shot Image Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 26 21 0 21 Mar 2021
CLTA: Contents and Length-based Temporal Attention for Few-shot Action Recognition Yang Bo Yangdi Lu Wenbo He VLM 30 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 14 0 0 15 Mar 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding Bo Sun Banghuai Li Shengcai Cai Ye Yuan Chi Zhang 45 370 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 9 21 0 04 Mar 2021
Few-shot Learning for Slot Tagging with Attentive Relational Network Cennet Oguz Ngoc Thang Vu 28 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 41 109 0 01 Mar 2021
E $^2$ CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning Alperen Görmez Venkateswara Dasari Erdem Koyuncu 14 7 0 01 Mar 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 38 13 0 23 Feb 2021
Learning Compositional Representation for Few-shot Visual Question Answering Dalu Guo Dacheng Tao OOD CoGe 25 4 0 21 Feb 2021
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining Swapnil Bhosale Rupayan Chakraborty Sunil Kumar Kopparapu 11 4 0 16 Feb 2021
Weak Adaptation Learning -- Addressing Cross-domain Data Insufficiency with Weak Annotator Shichao Xu Lixu Wang Yixuan Wang Qi Zhu 27 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 27 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 104 75 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 28 156 0 08 Feb 2021
Sill-Net: Feature Augmentation with Separated Illumination Representation Hanwang Zhang Zhong Cao Ziang Yan Changshui Zhang 13 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 38 1 0 03 Feb 2021
Meta-learning with negative learning rates A. Bernacchia 25 17 0 01 Feb 2021
Few-shot Image Classification with Multi-Facet Prototypes Kun Yan Zied Bouraoui Ping Wang Shoaib Jameel Steven Schockaert 29 4 0 01 Feb 2021
On Data Efficiency of Meta-learning Maruan Al-Shedivat Liam Li Eric Xing Ameet Talwalkar FedML 25 23 0 30 Jan 2021
Few-Shot Learning for Road Object Detection Anay Majee Kshitij Agrawal A. Subramanian 19 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 13 4 0 27 Jan 2021
Similarity of Classification Tasks Cuong C. Nguyen Thanh-Toan Do G. Carneiro 24 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 21 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 39 53 0 20 Jan 2021
Cross-domain few-shot learning with unlabelled data Fupin Yao 19 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 24 41 0 18 Jan 2021
Machine learning with limited data Fupin Yao VLM 27 8 0 18 Jan 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 219 324 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 33 68 0 08 Jan 2021
Few-Shot Learning with Class Imbalance Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 26 35 0 07 Jan 2021
Local Propagation for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard 32 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 25 41 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 32 64 0 31 Dec 2020
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 19 49 0 26 Dec 2020
Few Shot Learning With No Labels Aditya Bharti V. Balasubramanian C. V. Jawahar VLM 20 3 0 26 Dec 2020
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation Viraj Prabhu Shivam Khare Deeksha Kartik Judy Hoffman 46 133 0 21 Dec 2020
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning Huaxi Huang Junjie Zhang Jian Zhang Qiang Wu Chang Xu 28 24 0 20 Dec 2020
Minimax Active Learning Sayna Ebrahimi William Gan Dian Chen Giscard Biamby Kamyar Salahi Michael Laielli Shizhan Zhu Trevor Darrell 19 26 0 18 Dec 2020
On Episodes, Prototypical Networks, and Few-shot Learning Steinar Laenen Luca Bertinetto 20 97 0 17 Dec 2020