A Closer Look at Few-shot Classification

8 April 2019

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

50 / 843 papers shown

Title
Robust Few-shot Learning Without Using any Adversarial Samples Gaurav Kumar Nayak Ruchit Rawal Inder Khatri Anirban Chakraborty AAML 24 2 0 03 Nov 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid Jing Xu Xu Luo Xinglin Pan Wenjie Pei Yanan Li Zenglin Xu 36 21 0 30 Oct 2022
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference Ségolène Martin Malik Boudiaf Émilie Chouzenoux J. Pesquet Ismail Ben Ayed 24 8 0 26 Oct 2022
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition Shan Lu Xuecheng Xu Li Tang R. Xiong Yue Wang 3DPC 25 6 0 20 Oct 2022
Visual-Semantic Contrastive Alignment for Few-Shot Image Classification Mohamed Afham Ranga Rodrigo VLM 24 5 0 20 Oct 2022
Learning to Discover and Detect Objects V. Fomenko Ismail Elezi Deva Ramanan Laura Leal-Taixé Aljosa Osep ObjD 33 10 0 19 Oct 2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation Yong Wu Shekhor Chanda M. Hosseinzadeh Zhi Liu Yang Wang VLM 29 7 0 18 Oct 2022
Neural Routing in Meta Learning Jicang Cai Saeed Vahidian Weijia Wang M. Joneidi Bill Lin 20 0 0 14 Oct 2022
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets Anurag Roy David Johnson Ekka Saptarshi Ghosh Abir Das 23 1 0 13 Oct 2022
A Unified Framework with Meta-dropout for Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 16 1 0 12 Oct 2022
Semantic Cross Attention for Few-shot Learning Bin Xiao Chien Liu W. Hsaio 17 1 0 12 Oct 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection Shizhen Zhao Xiaojuan Qi 3DPC 48 17 0 11 Oct 2022
CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection Wuti Xiong 63 13 0 11 Oct 2022
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning Yu Fu Yu Xie Yanwei Fu Jingjing Chen Yu-Gang Jiang 32 15 0 11 Oct 2022
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport D. Guo Longlong Tian He Zhao Mingyuan Zhou H. Zha OODD 25 18 0 09 Oct 2022
Few-Shot Continual Active Learning by a Robot Ali Ayub C. Fendley CLL 40 29 0 09 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 40 3 0 07 Oct 2022
Hypernetwork approach to Bayesian MAML Piotr Borycki Piotr Kubacki Marcin Przewiȩźlikowski Tomasz Kuśmierczyk Jacek Tabor Przemysław Spurek BDL 19 2 0 06 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 34 3 0 05 Oct 2022
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment Zican Zha Hao Tang Yunlian Sun Jinhui Tang 57 75 0 04 Oct 2022
Visual Prompt Tuning for Generative Transfer Learning Kihyuk Sohn Yuan Hao José Lezama Luisa F. Polanía Huiwen Chang Han Zhang Irfan Essa Lu Jiang VPVLM VLM 56 81 0 03 Oct 2022
Offline Handwritten Amharic Character Recognition Using Few-shot Learning Mesay Samuel Gondere Lars Schmidt-Thieme D. Sharma Abiot Sinamo Boltena Abey Bruck OffRL 13 2 0 01 Oct 2022
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning Bin Liu Boyu Yang Lingxi Xie Ren Wang Qi Tian QiXiang Ye CLL 22 16 0 01 Oct 2022
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights Konstantin Schurholt Boris Knyazev Xavier Giró-i-Nieto Damian Borth 55 38 0 29 Sep 2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning Xiu-Shen Wei Hesheng Xu Faen Zhang Yuxin Peng Wei Zhou 30 14 0 28 Sep 2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning Xingping Dong Jianbing Shen Ling Shao 32 7 0 27 Sep 2022
MetaPrompting: Learning to Learn Better Prompts Yutai Hou Hongyuan Dong Xinghao Wang Bohan Li Wanxiang Che VLM 21 27 0 23 Sep 2022
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings Aymane Abdali Vincent Gripon Lucas Drumetz Bartosz Bogusławski 32 1 0 23 Sep 2022
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection Yipeng Gao Lingxiao Yang Yunmu Huang Song Xie Shiyong Li Weihao Zheng ObjD 56 26 0 22 Sep 2022
Query-Guided Networks for Few-shot Fine-grained Classification and Person Search Bharti Munjal Alessandro Flaborea S. Amin F. Tombari Fabio Galasso 15 23 0 21 Sep 2022
MAC: A Meta-Learning Approach for Feature Learning and Recombination S. Tiwari M. Gogoi S. Verma K. P. Singh CLL 37 1 0 20 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 35 15 0 18 Sep 2022
Few-Shot Classification with Contrastive Learning Zhanyuan Yang Jinghua Wang Ying J. Zhu OODD MQ 48 55 0 17 Sep 2022
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition M. Han Yibing Zhan Yong Luo Bo Du Han Hu Yonggang Wen Dacheng Tao 19 6 0 07 Sep 2022
A Study on Representation Transfer for Few-Shot Learning Chun-Nam Yu Yi Xie SSL 21 1 0 05 Sep 2022
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions Zhenyi Wang Li Shen Le Fang Qiuling Suo Dongling Zhan Tiehang Duan Mingchen Gao OOD CLL 16 15 0 03 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying-Cong Chen J. Hsieh Ming-Ching Chang 22 0 0 03 Sep 2022
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective Jiangmeng Li Yanan Zhang Jingyao Wang Hui Xiong Chengbo Jiao Xiaohui Hu Changwen Zheng Gang Hua CML 34 28 0 26 Aug 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Tianlin Li Bo Jiang Bin Luo 37 42 0 26 Aug 2022
Adversarial Feature Augmentation for Cross-domain Few-shot Classification Yan Hu A. J. Ma 34 47 0 23 Aug 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification Yunqing Zhao Ngai-man Cheung BDL 23 12 0 23 Aug 2022
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks Weide Liu Chi Zhang Guosheng Lin Fayao Liu ISeg SSeg 33 27 0 23 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 39 17 0 22 Aug 2022
Reference-Limited Compositional Zero-Shot Learning Siteng Huang Qiyao Wei Donglin Wang CoGe 28 3 0 22 Aug 2022
Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning and Non-Episodic Text Classification Jaron Mar Jiamou Liu 35 1 0 17 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization Huali Xu Shuaifeng Zhi Li Liu 40 4 0 17 Aug 2022
Combating Label Distribution Shift for Active Domain Adaptation S. Hwang Sohyun Lee Sungyeon Kim Jungseul Ok Suha Kwak 27 18 0 13 Aug 2022
Memorizing Complementation Network for Few-Shot Class-Incremental Learning Zhong Ji Zhi Hou Xiyao Liu Yanwei Pang Xuelong Li CLL 27 45 0 11 Aug 2022
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence Brando Miranda P. Yu Yu-xiong Wang Oluwasanmi Koyejo 32 10 0 02 Aug 2022
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation Gongjie Zhang Zhipeng Luo Kaiwen Cui Shijian Lu Eric P. Xing ViT 44 93 0 30 Jul 2022