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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
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning Baoquan Zhang Chuyao Luo Demin Yu Huiwei Lin Xutao Li Yunming Ye Bowen Zhang DiffM 134 46 0 31 Jul 2023
Few-shot Image Classification based on Gradual Machine Learning Nanway Chen Xianming Kuang Feiyu Liu K. Wang Qun Chen CLL VLM 77 3 0 28 Jul 2023
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification Subeen Lee WonJun Moon Hyun Seok Seong Jae-Pil Heo 83 1 0 28 Jul 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Kai Zheng Huishuai Zhang Weiran Huang 64 8 0 28 Jul 2023
Cos R-CNN for Online Few-shot Object Detection G. P. Data Henry Howard-Jenkins D. W. Murray V. Prisacariu ObjD 41 1 0 25 Jul 2023
Towards Task Sampler Learning for Meta-Learning Wenwen Qiang Jingyao Wang Xingzhe Su Changwen Zheng Gang Hua Hui Xiong 108 11 0 18 Jul 2023
Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling Zifeng Cheng Qingyu Zhou Zhiwei Jiang Xuemin Zhao Yunbo Cao Qing Gu 81 3 0 16 Jul 2023
One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching Siyuan Yang Jun Liu Shijian Lu Er Meng Hwa Alex C. Kot 87 12 0 14 Jul 2023
Global birdsong embeddings enable superior transfer learning for bioacoustic classification Burooj Ghani Tom Denton Stefan Kahl Holger Klinck 92 60 0 12 Jul 2023
Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification Yiwen Liao Yongsheng Gao Weichuan Zhang FAtt 30 0 0 11 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 96 78 0 10 Jul 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? Zihao Jiang Yunkai Dang Dong Pang Huishuai Zhang Weiran Huang VLM 89 2 0 09 Jul 2023
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation Dahyun Kang Piotr Koniusz Minsu Cho Naila Murray VLM ViT 85 26 0 07 Jul 2023
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning P. JishnuJaykumar Kamalesh Palanisamy Yu-Wei Chao Xinya Du Yu Xiang VLM 68 15 0 06 Jul 2023
Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose? Luísa Shimabucoro Timothy M. Hospedales Henry Gouk UQCV ELM 72 0 0 06 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification Kaihui Cheng Chule Yang Xiao Liu Naiyang Guan Zhiyuan Wang 94 0 0 04 Jul 2023
Graph Sampling-based Meta-Learning for Molecular Property Prediction Zhuang Xiang Qiang Zhang Bin Wu Keyan Ding Yin Fang Hua-zeng Chen 58 13 0 29 Jun 2023
Unsupervised Episode Generation for Graph Meta-learning Jihyeong Jung Sang-gyu Seo Sungwon Kim Chanyoung Park BDL 82 0 0 27 Jun 2023
Is Pre-training Truly Better Than Meta-Learning? Brando Miranda P. Yu Saumya Goyal Yu-Xiong Wang Oluwasanmi Koyejo 90 5 0 24 Jun 2023
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation Massimiliano Patacchiola Mingfei Sun Katja Hofmann Richard Turner OffRL 79 1 0 23 Jun 2023
Taming Small-sample Bias in Low-budget Active Learning Linxin Song Jieyu Zhang Xiaotian Lu Dinesh Manocha AI4CE 80 0 0 19 Jun 2023
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning Yifan Zhao Tong Zhang Jia Li Yonghong Tian 82 20 0 18 Jun 2023
FewSAR: A Few-shot SAR Image Classification Benchmark Rui Zhang Ziqi Wang Yongqian Li Jiabao Wang Zhiteng Wang 62 1 0 16 Jun 2023
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation Ren Wang Haoliang Sun Qinglai Wei Xiushan Nie Yuling Ma Yilong Yin 75 0 0 14 Jun 2023
Compositional Prototypical Networks for Few-Shot Classification Qiang Lyu Weiqiang Wang 59 11 0 11 Jun 2023
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango Fabio Ferreira Arlind Kadra Frank Hutter Frank Hutter Josif Grabocka 100 17 0 06 Jun 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds Aoran Xiao Xiaoqin Zhang Ling Shao Shijian Lu 3DPC 109 24 0 31 May 2023
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning Tao Zhang Wu Huang 92 2 0 30 May 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 132 8 0 28 May 2023
Instance-based Max-margin for Practical Few-shot Recognition Minghao Fu Kevin Zhu Jianxin Wu 84 3 0 27 May 2023
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification Idio Guarino Chao Wang A. Finamore A. Pescapé Dario Rossi 68 11 0 21 May 2023
SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification M. Mendez-Ruiz Jorge Gonzalez-Zapata Iván Reyes-Amezcua Daniel Flores-Araiza F. Lopez-Tiro Andres Mendez-Vazquez Gilberto Ochoa-Ruiz 71 2 0 15 May 2023
Artificial intelligence to advance Earth observation: a perspective D. Tuia Konrad Schindler Begüm Demir Gustau Camps-Valls Xiao Xiang Zhu ... Mihai Datcu Jorge-Arnulfo Quiané-Ruiz Volker Markl Bertrand Le Saux Rochelle Schneider 122 12 0 15 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 98 4 0 13 May 2023
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition Haiqi Liu Chong Chen Xinrong Gong Tong Zhang 77 12 0 12 May 2023
Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework Jannatul Nayem Sayed Sahriar Hasan Noshin Amina Bristy Das Md. Shahin Ali M. Ahsan S. Raman 71 10 0 08 May 2023
Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations Vasudha Kowtha Miquel Espi Marques Jonathan Huang Yichi Zhang C. Avendaño AI4TS 69 0 0 03 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models Qiufeng Wang Xu Yang Shuxia Lin Jing Wang Xin Geng 80 13 0 03 May 2023
DocLangID: Improving Few-Shot Training to Identify the Language of Historical Documents Furkan Simsek Brian Pfitzmann Hendrik Raetz Jona Otholt Haojin Yang Christoph Meinel 27 2 0 03 May 2023
Few-shot Classification via Ensemble Learning with Multi-Order Statistics Sai Yang Fan Liu Delong Chen Jun Zhou 70 6 0 30 Apr 2023
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 81 6 0 27 Apr 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 82 12 0 26 Apr 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection B. Demirel Orhun Bugra Baran R. G. Cinbis 111 12 0 24 Apr 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement Hao Zhu Piotr Koniusz 111 41 0 23 Apr 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya K. Singh Kartik Sarangmath Prithvijit Chattopadhyay Judy Hoffman OOD 90 1 0 21 Apr 2023
Clustered-patch Element Connection for Few-shot Learning Jinxiang Lai Siqian Yang Junhong Zhou Wenlong Wu Xiao Chen Jun Liu Bin-Bin Gao Chengjie Wang 63 8 0 20 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 90 0 0 13 Apr 2023
Rethinking Dense Retrieval's Few-Shot Ability Si Sun Yi-Wen Lu Shi Yu Xiangyang Li Zhonghua Li Bo Zhao Zhiyuan Liu Deiming Ye Jie Bao 53 0 0 12 Apr 2023
Experience-Based Evolutionary Algorithms for Expensive Optimization Xunzhao Yu Yan Wang Ling Zhu Dimitar Filev Xin Yao 66 2 0 09 Apr 2023
FACE-AUDITOR: Data Auditing in Facial Recognition Systems Min Chen Zhikun Zhang Tianhao Wang Michael Backes Yang Zhang CVBM 90 17 0 05 Apr 2023