v1v2v3v4v5 (latest)

A Baseline for Few-Shot Image Classification

International Conference on Learning Representations (ICLR), 2019

6 September 2019

Papers citing "A Baseline for Few-Shot Image Classification"

50 / 339 papers shown

Title
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease ClassificationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Li Shuhan Xuelong Li Xiaowei Xu Kwang-Ting Cheng 280 10 0 03 Jul 2022
Model-Agnostic Few-Shot Open-Set Recognition Malik Boudiaf Etienne Bennequin Myriam Tami C´eline Hudelot Antoine Toubhans Pablo Piantanida Ismail Ben Ayed BDL 179 1 0 18 Jun 2022
Channel Importance Matters in Few-Shot Image ClassificationInternational Conference on Machine Learning (ICML), 2022 Xu Luo Jing Xu Zenglin Xu VLM 213 54 0 16 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution SamplesNeural Information Processing Systems (NeurIPS), 2022 Duong H. Le Khoi Duc Minh Nguyen Khoi Nguyen Quoc-Huy Tran Rang Nguyen Binh-Son Hua OODD 151 41 0 08 Jun 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022 Mandi Zhao Pieter Abbeel Stephen James OffRL 315 37 0 07 Jun 2022
Two Decades of Bengali Handwritten Digit Recognition: A SurveyIEEE Access (IEEE Access), 2022 A. A. Ashikur Rahman Md. Bakhtiar Hasan Sabbir Ahmed Tasnim Ahmed Md. Hamjajul Ashmafee Mohammad Ridwan Kabir M. H. Kabir 203 33 0 05 Jun 2022
FHIST: A Benchmark for Few-shot Classification of Histological Images Fereshteh Shakeri Malik Boudiaf S. Mohammadi Ivaxi Sheth Mohammad Havaei Ismail Ben Ayed Samira Ebrahimi Kahou OOD VLM 153 28 0 31 May 2022
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networksNeural Information Processing Systems (NeurIPS), 2022 Daiki Chijiwa Shin'ya Yamaguchi Atsutoshi Kumagai Yasutoshi Ida 205 10 0 31 May 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification Zaiyun Yang VLM DRL 135 1 0 30 May 2022
TransBoost: Improving the Best ImageNet Performance using Deep TransductionNeural Information Processing Systems (NeurIPS), 2022 Omer Belhasin Guy Bar-Shalom Ran El-Yaniv ViT 353 5 0 26 May 2022
Uncertainty-based Network for Few-shot Image ClassificationIEEE International Conference on Multimedia and Expo (ICME), 2022 Minglei Yuan Qian Xu Chunhao Cai Yin-Dong Zheng Tao Wang Tong Lu UQCV 186 3 0 17 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and OpportunitiesACM Computing Surveys (ACM CSUR), 2022 Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 264 533 0 13 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 224 10 0 13 May 2022
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot LearningInternational Conference on Information and Knowledge Management (CIKM), 2022 Jaehoon Oh Sungnyun Kim Namgyu Ho Jin-Hwa Kim Hwanjun Song Se-Young Yun 186 11 0 11 May 2022
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling Etienne Bennequin Myriam Tami Antoine Toubhans C´eline Hudelot VLM 179 6 0 10 May 2022
PGADA: Perturbation-Guided Adversarial Alignment for Few-shot Learning Under the Support-Query ShiftPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022 Siyang Jiang Wei Ding Hsi-Wen Chen Minghai Chen OOD 234 9 0 08 May 2022
It's DONE: Direct ONE-shot learning with quantile weight imprinting Kazufumi Hosoda Keigo Nishida S. Seno Tomohiro Mashita H. Kashioka I. Ohzawa 147 2 0 28 Apr 2022
Meta-free few-shot learning via representation learning with weight averagingIEEE International Joint Conference on Neural Network (IJCNN), 2022 Kuilin Chen Chi-Guhn Lee 146 6 0 26 Apr 2022
Realistic Evaluation of Transductive Few-Shot LearningNeural Information Processing Systems (NeurIPS), 2022 Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 188 42 0 24 Apr 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a DifferenceComputer Vision and Pattern Recognition (CVPR), 2022 S. Hu Da Li Jan Stuhmer Minyoung Kim Timothy M. Hospedales 184 231 0 15 Apr 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 115 6 0 11 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot ClassificationComputer Vision and Pattern Recognition (CVPR), 2022 Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 201 220 0 09 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected SamplingAAAI Conference on Artificial Intelligence (AAAI), 2022 R. Tao Han Zhang Yutong Zheng Marios Savvides 176 25 0 07 Apr 2022
The Self-Optimal-Transport Feature Transform Daniel Shalam Simon Korman OT 132 23 0 06 Apr 2022
Matching Feature Sets for Few-Shot Image ClassificationComputer Vision and Pattern Recognition (CVPR), 2022 Arman Afrasiyabi Hugo Larochelle Jean-François Lalonde Christian Gagné VLM 202 90 0 02 Apr 2022
Supervised Graph Contrastive Learning for Few-shot Node Classification Zhen Tan Kaize Ding Ruocheng Guo Huan Liu OffRL 342 14 0 29 Mar 2022
Integrative Few-Shot Learning for Classification and SegmentationComputer Vision and Pattern Recognition (CVPR), 2022 Dahyun Kang Minsu Cho VLM 207 73 0 29 Mar 2022
A Framework of Meta Functional Learning for Regularising Knowledge Transfer Pan Li Yanwei Fu S. Gong 84 0 0 28 Mar 2022
Temporal Transductive Inference for Few-Shot Video Object SegmentationInternational Journal of Computer Vision (IJCV), 2022 Mennatullah Siam Konstantinos G. Derpanis Richard P. Wildes VOS 236 10 0 27 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot ClassificationComputer Vision and Pattern Recognition (CVPR), 2022 Philip Chikontwe Soopil Kim Sang Hyun Park 151 35 0 25 Mar 2022
Multi-similarity based Hyperrelation Network for few-shot segmentationIET Image Processing (IIP), 2022 Xian Shi Zhe Cui Shaobing Zhang Miao Cheng L. He Xianghong Tang 189 8 0 17 Mar 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning Rui Xu Lei Xing Shuai Shao Lifei Zhao Baodi Liu Weifeng Liu Yicong Zhou 248 24 0 15 Mar 2022
Worst Case Matters for Few-Shot RecognitionEuropean Conference on Computer Vision (ECCV), 2022 Minghao Fu Yunhao Cao Jianxin Wu 144 8 0 13 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 244 236 0 07 Mar 2022
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation Zihan Zhang Xiang Xiang VLM 177 2 0 28 Feb 2022
Semantically Proportional Patchmix for Few-Shot LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Jingquan Wang Jing Xu Yu Pan Zenglin Xu VLM 101 1 0 17 Feb 2022
Self-Supervised Class-Cognizant Few-Shot ClassificationInternational Conference on Information Photonics (ICIP), 2022 Ojas Kishore Shirekar Hadi Jamali Rad SSL 161 6 0 15 Feb 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot DifficultyNeural Information Processing Systems (NeurIPS), 2022 Jaehoon Oh Sungnyun Kim Namgyu Ho Jin-Hwa Kim Hwanjun Song Se-Young Yun 178 47 0 01 Feb 2022
Deep Reference Priors: What is the best way to pretrain a model?International Conference on Machine Learning (ICML), 2022 Yansong Gao Rahul Ramesh Pratik Chaudhari BDL 200 6 0 01 Feb 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Yassir Bendou Yuqing Hu Raphael Lafargue G. Lioi Bastien Pasdeloup S. Pateux Vincent Gripon VLM 205 39 0 24 Jan 2022
Preventing Manifold Intrusion with Locality: Local Mixup Raphael Baena Lucas Drumetz Vincent Gripon AAML 197 16 0 12 Jan 2022
On the Role of Neural Collapse in Transfer LearningInternational Conference on Learning Representations (ICLR), 2021 Tomer Galanti András Gyorgy Marcus Hutter SSL 202 106 0 30 Dec 2021
Associative Adversarial Learning Based on Selective Attack Runqi Wang Xiaoyue Duan Baochang Zhang Shenjun Xue Wentao Zhu David Doermann G. Guo AAML 256 0 0 28 Dec 2021
Does MAML Only Work via Feature Re-use? A Data Centric Perspective Alycia Lee Yu-Xiong Wang Oluwasanmi Koyejo 128 4 0 24 Dec 2021
The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence Alycia Lee Yu-Xiong Wang Sanmi Koyejo 243 0 0 24 Dec 2021
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D ReconstructionAAAI Conference on Artificial Intelligence (AAAI), 2021 Ta-Ying Cheng Hsuan-ru Yang Niki Trigoni Hwann-Tzong Chen Tyng-Luh Liu 106 9 0 23 Dec 2021
Dual Path Structural Contrastive Embeddings for Learning Novel Objects Bingbin Li E. Cui Yanan Li Donghui Wang Weng Kee Wong 147 1 0 23 Dec 2021
Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning Josh Myers-Dean Yinan Zhao Brian L. Price Scott D. Cohen Danna Gurari CLL 202 17 0 21 Dec 2021
Exploring Category-correlated Feature for Few-shot Image Classification Jing Xu Xinglin Pan Xu Luo Wenjie Pei Zenglin Xu 127 5 0 14 Dec 2021
Label Hallucination for Few-Shot ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2021 Yiren Jian Lorenzo Torresani 186 45 0 06 Dec 2021