A Closer Look at Few-shot Classification

8 April 2019

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

50 / 844 papers shown

Title
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 36 11 0 14 Oct 2021
A Closer Look at Prototype Classifier for Few-shot Image Classification Mingcheng Hou Issei Sato VLM 31 21 0 11 Oct 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification Jinghan Sun Dong Wei Kai Ma Liansheng Wang Yefeng Zheng 32 8 0 09 Oct 2021
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification Baoquan Zhang Shanshan Feng Xutao Li Yunming Ye Rui Ye 32 40 0 09 Oct 2021
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning Sungyong Baik Janghoon Choi Heewon Kim Dohee Cho Jaesik Min Kyoung Mu Lee 21 97 0 08 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 37 13 0 06 Oct 2021
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning Cat P. Le Juncheng Dong Mohammadreza Soltani Vahid Tarokh 28 11 0 05 Oct 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset Wanyu Bian Yunmei Chen X. Ye Qingchao Zhang 36 26 0 02 Oct 2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation Jay Patravali Gaurav Mittal Ye Yu Fuxin Li Mei Chen 18 19 0 30 Sep 2021
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness Zhenyi Wang Tiehang Duan Le Fang Qiuling Suo Mingchen Gao 199 18 0 29 Sep 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning Zhe Wang J. E. Grigsby Arshdeep Sekhon Yanjun Qi 54 4 0 27 Sep 2021
Disentangled Feature Representation for Few-shot Image Classification Hao Cheng Yufei Wang Haoliang Li Alex C. Kot Bihan Wen 57 28 0 26 Sep 2021
Multi-source Few-shot Domain Adaptation Xiangyu Yue Zangwei Zheng Colorado Reed Hari Prasanna Das Kurt Keutzer Alberto L. Sangiovanni-Vincentelli 35 12 0 25 Sep 2021
Learning by Examples Based on Multi-level Optimization Shentong Mo P. Xie 29 0 0 22 Sep 2021
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications Sai Vidyaranya Nuthalapati Anirudh Tunga 30 32 0 21 Sep 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 35 28 0 20 Sep 2021
Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification Mirantha Jayathilaka Tingting Mu U. Sattler 32 9 0 19 Sep 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning Shuai Shao Lei Xing Yan Wang Rui Xu Chunyan Zhao Yanjiang Wang Baodi Liu 43 35 0 16 Sep 2021
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning Chi Zhang Henghui Ding Guosheng Lin Ruibo Li Changhu Wang Chunhua Shen 42 40 0 13 Sep 2021
Fine-Grained Few Shot Learning with Foreground Object Transformation Chaofei Wang S. Song Qisen Yang Xiang Li Gao Huang 32 23 0 13 Sep 2021
SphereFace Revived: Unifying Hyperspherical Face Recognition Weiyang Liu Yandong Wen Bhiksha Raj Rita Singh Adrian Weller 3DH CVBM 39 39 0 12 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning Wenbin Li Ziyi Ziyi Wang Xuesong Yang C. Dong ... Jing Huo Yinghuan Shi Lei Wang Yang Gao Jiebo Luo VLM 116 66 0 10 Sep 2021
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation Gengxin Xu Chen Liu Jun Liu Z. Ding F. Shi ... Xiaoming Li Ying Wei Yaozong Gao Chuan-Xian Ren Dinggang Shen OOD 39 36 0 08 Sep 2021
CIM: Class-Irrelevant Mapping for Few-Shot Classification Shuai Shao Lei Xing Yixin Chen Yanjiang Wang Baodi Liu Yicong Zhou 34 2 0 07 Sep 2021
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis Zejiang Hou S. Kung 19 1 0 07 Sep 2021
CAM-loss: Towards Learning Spatially Discriminative Feature Representations Chaofei Wang J. Xiao Yizeng Han Qisen Yang S. Song Gao Huang 22 20 0 03 Sep 2021
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition Xiyao Liu Zhong Ji Yanwei Pang Zhongfei Zhang 33 17 0 03 Sep 2021
Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning Zhong Ji Zhishen Hou Xiyao Liu Yanwei Pang Jungong Han 22 20 0 03 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 24 72 0 31 Aug 2021
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification Yike Wu Bo Zhang Gang Yu Weixiao Zhang Bin Wang Tao Chen Jiayuan Fan ObjD 34 24 0 30 Aug 2021
Calibrating Class Activation Maps for Long-Tailed Visual Recognition Chi Zhang Guosheng Lin Lvlong Lai Henghui Ding Qingyao Wu 29 1 0 29 Aug 2021
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework Ammar Mansoor Kamoona A. Gostar A. Bab-Hadiashar R. Hoseinnezhad 25 16 0 27 Aug 2021
Binocular Mutual Learning for Improving Few-shot Classification Ziqi Zhou Xi Qiu Jiangtao Xie Jianan Wu Chi Zhang SSL 18 76 0 27 Aug 2021
Learning Class-level Prototypes for Few-shot Learning Minglei Yuan Wenhai Wang Tao Wang Chunhao Cai Qian Xu Tong Lu VLM 25 3 0 25 Aug 2021
Adaptation-Agnostic Meta-Training Jiaxin Chen Li-Ming Zhan Xiao-Ming Wu K. F. Chung 37 0 0 24 Aug 2021
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 39 185 0 22 Aug 2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection Limeng Qiao Yuxuan Zhao Zhiyuan Li Xi Qiu Jianan Wu Chi Zhang ObjD 30 197 0 20 Aug 2021
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder Hanwen Liang Qiong Zhang Peng Dai Juwei Lu 44 59 0 11 Aug 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 63 18 0 11 Aug 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang Massimiliano Pontil C. Ciliberto VLM 41 17 0 09 Aug 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding Sheng Huang Wanqi Yang Lei Wang Luping Zhou Ming Yang 30 8 0 06 Aug 2021
Improve Unsupervised Pretraining for Few-label Transfer Suichan Li Dongdong Chen Yinpeng Chen Lu Yuan Lei Zhang Qi Chu B. Liu Nenghai Yu SSL 18 20 0 26 Jul 2021
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data Yu Fu Yanwei Fu Yu-Gang Jiang 19 60 0 26 Jul 2021
A Transductive Maximum Margin Classifier for Few-Shot Learning Fei Pan Chunlei Xu Jie Guo Yanwen Guo 19 0 0 26 Jul 2021
Temporal Alignment Prediction for Few-Shot Video Classification Fei Pan Chunlei Xu Jie Guo Yanwen Guo AI4TS 29 1 0 26 Jul 2021
Will Multi-modal Data Improves Few-shot Learning? Zilun Zhang Shihao Ma Yichun Zhang 11 2 0 25 Jul 2021
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift Pinzhuo Tian Yao Gao OOD 17 1 0 23 Jul 2021
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings Wenbin Li Xuesong Yang Meihao Kong Lei Wang Jing Huo Yang Gao Jiebo Luo 24 0 0 22 Jul 2021
Boosting Few-Shot Classification with View-Learnable Contrastive Learning Xu Luo Yuxuan Chen Liangjiang Wen Lili Pan Zenglin Xu VLM SSL 18 25 0 20 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