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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
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect Kaihua Tang Jianqiang Huang Hanwang Zhang CML 112 447 0 28 Sep 2020
Domain Generalization via Semi-supervised Meta Learning Hossein Sharifi-Noghabi Hossein Asghari Nazanin Mehrasa Martin Ester OOD 64 11 0 26 Sep 2020
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images Zixuan Xiao Wei Xue P. Zhong 127 33 0 26 Sep 2020
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning Henry Kvinge Zach New Nico Courts J. H. Lee Lauren A. Phillips Court D. Corley Aaron Tuor Andrew Avila Nathan Oken Hodas 31 2 0 23 Sep 2020
Similarity-based data mining for online domain adaptation of a sonar ATR system Jean de Bodinat Thomas Guerneve Jose Vazquez Marija Jegorova 90 3 0 16 Sep 2020
DAICS: A Deep Learning Solution for Anomaly Detection in Industrial Control Systems Maged AbdelAty Roberto Doriguzzi-Corin Domenico Siracusa 65 44 0 14 Sep 2020
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition Siteng Huang Min Zhang Yachen Kang Donglin Wang 58 43 0 10 Sep 2020
Proxy Network for Few Shot Learning Bin Xiao Chien-Liang Liu W. Hsaio 30 5 0 09 Sep 2020
Region Comparison Network for Interpretable Few-shot Image Classification Z. Xue Lixin Duan Wen Li Lin Chen Jiebo Luo 61 16 0 08 Sep 2020
Information Theoretic Meta Learning with Gaussian Processes Michalis K. Titsias Francisco J. R. Ruiz Sotirios Nikoloutsopoulos Alexandre Galashov FedML 108 15 0 07 Sep 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 98 52 0 06 Sep 2020
Class Interference Regularization Bharti Munjal S. Amin Fabio Galasso 40 0 0 04 Sep 2020
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution Ze Wang Xiuyuan Cheng Guillermo Sapiro Qiang Qiu 26 9 0 04 Sep 2020
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning Lyes Khacef Vincent Gripon Benoit Miramond SSL 19 7 0 04 Sep 2020
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models Adrian Galdran André Anjos José Dolz H. Chakor H. Lombaert Ismail Ben Ayed SSeg 43 18 0 03 Sep 2020
A Flexible Selection Scheme for Minimum-Effort Transfer Learning Amelie Royer Christoph H. Lampert 43 14 0 27 Aug 2020
Transductive Information Maximization For Few-Shot Learning Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony José Dolz Pablo Piantanida Ismail Ben Ayed VLM 83 79 0 25 Aug 2020
Few-Shot Learning with Intra-Class Knowledge Transfer Vivek Roy Yan Xu Yu-Xiong Wang Kris Kitani Ruslan Salakhutdinov M. Hebert VLM 57 3 0 22 Aug 2020
BOIL: Towards Representation Change for Few-shot Learning Jaehoon Oh Hyungjun Yoo ChangHwan Kim Seyoung Yun 49 9 0 20 Aug 2020
Dataset Bias in Few-shot Image Recognition Shuqiang Jiang Yaohui Zhu Chenlong Liu Xinhang Song Xiangyang Li Weiqing Min 102 22 0 18 Aug 2020
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models Tong Wang Selen Pehlivan Jorma T. Laaksonen 107 34 0 18 Aug 2020
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis Zhipeng Bao Yu-Xiong Wang M. Hebert 87 11 0 16 Aug 2020
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective Baifeng Shi Dinghuai Zhang Qi Dai Zhanxing Zhu Yadong Mu Jingdong Wang OOD 72 112 0 10 Aug 2020
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition Yixiong Zou Shanghang Zhang Jianpeng Yu Yonghong Tian José M. F. Moura 50 16 0 07 Aug 2020
Few-Shot Drum Transcription in Polyphonic Music Yu Wang Justin Salamon M. Cartwright Nicholas J. Bryan J. P. Bello 151 20 0 06 Aug 2020
Few-shot Classification via Adaptive Attention Zihang Jiang Bingyi Kang Kuangqi Zhou Jiashi Feng 54 19 0 06 Aug 2020
A Foliated View of Transfer Learning Janith C. Petangoda Nick A. M. Monk M. Deisenroth 61 3 0 02 Aug 2020
Few-Shot Keyword Spotting With Prototypical Networks Archit Parnami Minwoo Lee 44 32 0 25 Jul 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild Yang Xiao Vincent Lepetit Renaud Marlet 3DPC 138 321 0 23 Jul 2020
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection Xianyu Chen Ming Jiang Qi Zhao ObjD 40 14 0 23 Jul 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake C. Snell R. Zemel 111 63 0 20 Jul 2020
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation Taekyung Kim Changick Kim 100 139 0 18 Jul 2020
Impact of base dataset design on few-shot image classification Othman Sbai Camille Couprie Mathieu Aubry VLM 68 23 0 17 Jul 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification Jiamei Sun Sebastian Lapuschkin Wojciech Samek Yunqing Zhao Ngai-Man Cheung Alexander Binder 72 90 0 17 Jul 2020
Adaptive Task Sampling for Meta-Learning Chenghao Liu Zhihao Wang Doyen Sahoo Yuan Fang Kun Zhang Guosheng Lin 104 55 0 17 Jul 2020
Tell me what this is: Few-Shot Incremental Object Learning by a Robot Ali Ayub Alan R. Wagner 101 32 0 15 Jul 2020
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning Yikai Wang Li Zhang Yuan Yao Yanwei Fu 135 44 0 15 Jul 2020
Concept Learners for Few-Shot Learning Kaidi Cao Maria Brbic J. Leskovec VLM OffRL 92 4 0 14 Jul 2020
Visualizing Classification Structure of Large-Scale Classifiers B. Alsallakh Zhixin Yan Shabnam Ghaffarzadegan Zeng Dai Liu Ren FAtt 49 1 0 12 Jul 2020
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding Jinhai Yang Han Yang Lin Chen 56 20 0 11 Jul 2020
Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization Yunho Jeon Yongseok Choi Jaesun Park Subin Yi D.-Y. Cho Jiwon Kim 26 6 0 10 Jul 2020
Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation Yongqin Xian Bruno Korbar Matthijs Douze Lorenzo Torresani Bernt Schiele Zeynep Akata VGen 70 18 0 09 Jul 2020
Predicting the Accuracy of a Few-Shot Classifier Myriam Bontonou Louis Bethune Vincent Gripon 78 4 0 08 Jul 2020
MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning Baoquan Zhang Ka-Cheong Leung Yunming Ye Xutao Li 91 1 0 05 Jul 2020
MPLP: Learning a Message Passing Learning Protocol E. Randazzo Eyvind Niklasson A. Mordvintsev 56 4 0 02 Jul 2020
FathomNet: An underwater image training database for ocean exploration and discovery O. Boulais Benjamin Woodward B. Schlining L. Lundsten K. Barnard K. L. Bell K. Katija 110 14 0 30 Jun 2020
Unsupervised Learning of Video Representations via Dense Trajectory Clustering P. Tokmakov M. Hebert Cordelia Schmid SSL 59 22 0 28 Jun 2020
Laplacian Regularized Few-Shot Learning Imtiaz Masud Ziko Jose Dolz Eric Granger Ismail Ben Ayed 82 176 0 28 Jun 2020
Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images Lamei Zhang Siyu Zhang B. Zou Hongwei Dong SSL 21 0 0 27 Jun 2020
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks Surgan Jandial Ayush Chopra Mausoom Sarkar Piyush B. Gupta Balaji Krishnamurthy V. Balasubramanian 27 4 0 24 Jun 2020