Low-Shot Learning from Imaginary Data

16 January 2018

Papers citing "Low-Shot Learning from Imaginary Data"

50 / 146 papers shown

Title
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 35 28 0 20 Sep 2021
Fine-Grained Few Shot Learning with Foreground Object Transformation Chaofei Wang S. Song Qisen Yang Xiang Li Gao Huang 37 23 0 13 Sep 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting Anna Kukleva Hilde Kuehne Bernt Schiele CLL 20 50 0 18 Aug 2021
LARGE: Latent-Based Regression through GAN Semantics Yotam Nitzan Rinon Gal Ofir Brenner Daniel Cohen-Or GAN 29 26 0 22 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 47 88 0 16 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 32 1 0 12 Jul 2021
TA2N: Two-Stage Action Alignment Network for Few-shot Action Recognition Shuyuan Li Huabin Liu Rui Qian Yuxi Li John See Mengjuan Fei Xiaoyuan Yu W. Lin 23 75 0 10 Jul 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning Yi Zhang Sheng Huang Xiao-song Peng Dan Yang 33 9 0 28 Jun 2021
SITTA: Single Image Texture Translation for Data Augmentation Boyi Li Huayu Chen Nayeon Lee Serge Belongie 16 3 0 25 Jun 2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets Jianfeng Wang Thomas Lukasiewicz Xiaolin Hu Jianfei Cai Zhenghua Xu SyDa 30 84 0 18 Jun 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning Chaofan CHEN Xiaoshan Yang Changsheng Xu Xuhui Huang Zhe Ma 33 50 0 16 Jun 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation Haoang Chi Feng Liu Wenjing Yang L. Lan Tongliang Liu Bo Han William Cheung James T. Kwok 40 27 0 11 Jun 2021
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation Binghao Liu Yao Ding Jianbin Jiao Xiangyang Ji QiXiang Ye 29 47 0 01 Jun 2021
Multi-Label Few-Shot Learning for Aspect Category Detection Mengting Hu Shiwan Zhao Honglei Guo Chao Xue H. Gao Tiegang Gao Renhong Cheng Zhong Su 13 39 0 29 May 2021
Few-shot Partial Multi-view Learning Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Jiebo Luo 36 1 0 05 May 2021
Hallucination Improves Few-Shot Object Detection Weilin Zhang Yu-xiong Wang ObjD 57 110 0 04 May 2021
Subspace Representation Learning for Few-shot Image Classification Ting-Yao Hu Zhi-Qi Cheng Alexander G. Hauptmann 39 5 0 02 May 2021
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection Nadine Chang Zhiding Yu Yu-xiong Wang Anima Anandkumar Sanja Fidler J. Álvarez 43 37 0 12 Apr 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning Zhi Hou B. Yu Yu Qiao Xiaojiang Peng Dacheng Tao 38 96 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
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 63 35 0 23 Jan 2021
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 44 61 0 14 Dec 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 18 70 0 24 Nov 2020
Generalized Few-shot Semantic Segmentation Zhuotao Tian Xin Lai Li Jiang Shu Liu Michelle Shu Hengshuang Zhao Jiaya Jia VLM 27 81 0 11 Oct 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts Xudong Wang Long Lian Zhongqi Miao Ziwei Liu Stella X. Yu 36 380 0 05 Oct 2020
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation Xianghui Yang Bairun Wang Kaige Chen Xinchi Zhou Shuai Yi Wanli Ouyang Luping Zhou 13 49 0 14 Aug 2020
Feature Space Augmentation for Long-Tailed Data Peng Chu Xiao Bian Shaopeng Liu Haibin Ling 41 238 0 09 Aug 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 26 54 0 30 Jul 2020
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains Carola Figueroa Flores Bogdan Raducanu David Berga Joost van de Weijer 25 6 0 24 Jul 2020
Visual Compositional Learning for Human-Object Interaction Detection Zhi Hou Xiaojiang Peng Yu Qiao Dacheng Tao VLM 30 181 0 24 Jul 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild Yang Xiao Vincent Lepetit Renaud Marlet 3DPC 46 315 0 23 Jul 2020
Impact of base dataset design on few-shot image classification Othman Sbai Camille Couprie Mathieu Aubry VLM 20 22 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 28 87 0 17 Jul 2020
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation K. Chaitanya Neerav Karani Christian F. Baumgartner Ertunc Erdil Anton S. Becker O. Donati E. Konukoglu MedIm 30 92 0 09 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 18 18 0 09 Jul 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 26 103 0 12 Jun 2020
Boosting Few-Shot Learning With Adaptive Margin Loss Aoxue Li Weiran Huang Xu Lan Jiashi Feng Zhenguo Li Liwei Wang 24 193 0 28 May 2020
Few-Shot Open-Set Recognition using Meta-Learning Bo Liu Hao Kang Haoxiang Li G. Hua Nuno Vasconcelos BDL EDL 28 89 0 27 May 2020
Memory-Augmented Relation Network for Few-Shot Learning J. He Richang Hong Xueliang Liu Mingliang Xu Zhengjun Zha Meng Wang 21 47 0 09 May 2020
One-Shot Image Classification by Learning to Restore Prototypes Wanqi Xue Wei Wang VLM 14 52 0 04 May 2020
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects Evangelos Ntavelis Andrés Romero I. Kastanis Luc Van Gool Radu Timofte VLM 26 75 0 10 Apr 2020
Learning to Select Base Classes for Few-shot Classification Linjun Zhou Peng Cui Xu Jia Shiqiang Yang Q. Tian 12 26 0 01 Apr 2020
One-Shot GAN Generated Fake Face Detection Hadi Mansourifar W. Shi CVBM 22 10 0 27 Mar 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification Bin Liu Yue Cao Yutong Lin Qi Li Zheng-Wei Zhang Mingsheng Long Han Hu 35 318 0 26 Mar 2020
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation Sharon Fogel Hadar Averbuch-Elor S. Cohen Shai Mazor R. Litman GAN 39 115 0 23 Mar 2020
Few-Shot Learning with Geometric Constraints Hong G Jung Seong-Whan Lee 33 49 0 20 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 4 192 0 09 Mar 2020
Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition Wenxuan Wang Yanwei Fu Qiang Sun Tao Chen Chenjie Cao Ziqi Zheng Guoqiang Xu Han Qiu Yu-Gang Jiang Xiangyang Xue CVBM 29 14 0 17 Jan 2020
Fine-grained Image-to-Image Transformation towards Visual Recognition Wei Xiong Yutong He Yixuan Zhang Wenhan Luo Lin Ma Jiebo Luo CVBM 35 26 0 12 Jan 2020
Diversity Transfer Network for Few-Shot Learning Mengting Chen Yuxin Fang Xinggang Wang Heng Luo Yifeng Geng Xinyu Zhang Chang Huang Wenyu Liu Bo Wang 20 69 0 31 Dec 2019