Low-Shot Learning from Imaginary Data

16 January 2018

Papers citing "Low-Shot Learning from Imaginary Data"

46 / 146 papers shown

Title
Learning Multi-level Weight-centric Features for Few-shot Learning Min-Siong Liang Shaoli Huang Shirui Pan Biwei Huang Wei Liu 30 10 0 28 Nov 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition Satoshi Tsutsui Yanwei Fu David J. Crandall 16 37 0 17 Nov 2019
Neural Similarity Learning Weiyang Liu Zhen Liu James M. Rehg Le Song 27 29 0 28 Oct 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 94 1,190 0 21 Oct 2019
MetaPix: Few-Shot Video Retargeting Jessica Lee Deva Ramanan Rohit Girdhar VGen ViT 19 26 0 10 Oct 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification Varun Kumar Hadrien Glaude Cyprien de Lichy William Campbell 26 83 0 09 Oct 2019
Meta-Transfer Learning through Hard Tasks Qianru Sun Yaoyao Liu Zhaozheng Chen Tat-Seng Chua Bernt Schiele 14 98 0 07 Oct 2019
Revisiting Fine-tuning for Few-shot Learning Akihiro Nakamura Tatsuya Harada 40 52 0 01 Oct 2019
Feature Weighting and Boosting for Few-Shot Segmentation Khoi Duc Minh Nguyen S. Todorovic 35 330 0 28 Sep 2019
Generative One-Shot Face Recognition Zhengming Ding Yandong Guo Lei Zhang Y. Fu VLM GAN CVBM 29 10 0 28 Sep 2019
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion Zihao Wang K. Lai Piji Li Lidong Bing W. Lam 19 32 0 25 Sep 2019
Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks Andrea Pilzer Stéphane Lathuilière Dan Xu M. Puscas Elisa Ricci N. Sebe MDE 18 25 0 17 Sep 2019
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises F. Mohammadi M. Amini H. Arabnia OffRL 28 22 0 26 Aug 2019
Few-Shot Learning with Global Class Representations Tiange Luo Aoxue Li Tao Xiang Weiran Huang Liwei Wang 24 114 0 14 Aug 2019
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector Qi Fan Wei Zhuo Chi-Keung Tang Yu-Wing Tai ObjD 47 525 0 06 Aug 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Puneet Mangla M. Singh Abhishek Sinha Nupur Kumari V. Balasubramanian Balaji Krishnamurthy SSL 36 327 0 28 Jul 2019
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks Ziliang Chen Jingyu Zhuang Xiaodan Liang Liang Lin OOD 33 83 0 08 Jul 2019
Few-Shot Video Classification via Temporal Alignment Kaidi Cao Jingwei Ji Zhangjie Cao C. Chang Juan Carlos Niebles AI4TS 32 235 0 27 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 22 400 0 12 Jun 2019
Progressive Cluster Purification for Transductive Few-shot Learning Chenyang Si Wentao Chen Wei Wang Liang Wang Tieniu Tan VLM 30 1 0 10 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 30 59 0 07 Jun 2019
Image Deformation Meta-Networks for One-Shot Learning Z. Chen Yanwei Fu Yu-xiong Wang Lin Ma Wei Liu M. Hebert 15 217 0 28 May 2019
Object Discovery with a Copy-Pasting GAN Relja Arandjelović Andrew Zisserman 27 57 0 27 May 2019
Appearance and Pose-Conditioned Human Image Generation using Deformable GANs Aliaksandr Siarohin Stéphane Lathuilière E. Sangineto N. Sebe 3DH GAN 12 54 0 30 Apr 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 40 128 0 17 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 48 1,137 0 10 Apr 2019
Few-Shot Learning with Localization in Realistic Settings Davis Wertheimer Bharath Hariharan 19 140 0 09 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 60 1,754 0 08 Apr 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning Yongqin Xian Saurabh Sharma Bernt Schiele Zeynep Akata GAN VLM 36 483 0 25 Mar 2019
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval Anjan Dutta Zeynep Akata 33 143 0 08 Mar 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 53 612 0 07 Mar 2019
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation Yizhe Zhang Lin Yang Hao Zheng Peixian Liang Colleen A. Mangold R. Loreto David P. Hughes Danny Chen MedIm 27 13 0 28 Feb 2019
Adaptive Cross-Modal Few-Shot Learning Chen Xing Negar Rostamzadeh Boris N. Oreshkin Pedro H. O. Pinheiro 33 271 0 19 Feb 2019
OrthographicNet: A Deep Transfer Learning Approach for 3D Object Recognition in Open-Ended Domains Hamidreza Kasaei 21 28 0 08 Feb 2019
Low-Shot Learning from Imaginary 3D Model Frederik Pahde M. Puscas Jannik Wolff T. Klein N. Sebe Moin Nabi 9 11 0 04 Jan 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 68 657 0 10 Dec 2018
Meta-Transfer Learning for Few-Shot Learning Qianru Sun Yaoyao Liu Tat-Seng Chua Bernt Schiele 75 1,061 0 06 Dec 2018
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning Zhiwu Lu Jiechao Guan Aoxue Li Tao Xiang An Zhao Ji-Rong Wen 28 64 0 19 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 32 181 0 16 Oct 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 29 71 0 14 Aug 2018
Conditional Infilling GANs for Data Augmentation in Mammogram Classification Eric Wu K. Wu David D. Cox William Lotter MedIm 22 135 0 21 Jul 2018
Cross-modal Hallucination for Few-shot Fine-grained Recognition Frederik Pahde P. Jähnichen T. Klein Moin Nabi 44 21 0 13 Jun 2018
RepMet: Representative-based metric learning for classification and one-shot object detection Leonid Karlinsky J. Shtok Sivan Harary Eli Schwartz Mattias Marder Rogerio Feris Raja Giryes A. Bronstein VLM ObjD 20 318 0 12 Jun 2018
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning Yanbin Liu Juho Lee Minseop Park Saehoon Kim Eunho Yang Sung Ju Hwang Yi Yang 22 666 0 25 May 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 56 1,303 0 23 May 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 496 11,727 0 09 Mar 2017