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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
Cross-Domain Few-Shot Classification via Inter-Source Stylization Huali Xu Shuaifeng Zhi Li Liu 100 4 0 17 Aug 2022
Combating Label Distribution Shift for Active Domain Adaptation S. Hwang Sohyun Lee Sungyeon Kim Jungseul Ok Suha Kwak 75 20 0 13 Aug 2022
Memorizing Complementation Network for Few-Shot Class-Incremental Learning Zhong Ji Zhi Hou Xiyao Liu Yanwei Pang Xuelong Li CLL 76 48 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 85 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 113 103 0 30 Jul 2022
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation Guangchen Shi Yirui Wu Jing Liu Shaohua Wan Wenhai Wang Tong Lu CLL 115 35 0 26 Jul 2022
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations Wenjie Pei Shuang Wu Dianwen Mei Fanglin Chen Jiandong Tian Guangming Lu VLM 49 11 0 25 Jul 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning Tao Zhang Wu Huang 69 14 0 24 Jul 2022
Self-Support Few-Shot Semantic Segmentation Qi Fan Wenjie Pei Yu-Wing Tai Chi-Keung Tang 99 147 0 23 Jul 2022
Hyper-Representations for Pre-Training and Transfer Learning Konstantin Schurholt Boris Knyazev Xavier Giró-i-Nieto Damian Borth 78 11 0 22 Jul 2022
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification Renrui Zhang Zhang Wei Rongyao Fang Peng Gao Kunchang Li Jifeng Dai Yu Qiao Hongsheng Li VLM 133 321 0 19 Jul 2022
Self-Supervision Can Be a Good Few-Shot Learner Yuning Lu Liangjiang Wen Jianzhuang Liu Yajing Liu Xinmei Tian SSL 101 37 0 19 Jul 2022
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation Hegui Zhu Zhan Gao Jiayi Wang Yangqiaoyu Zhou Chengqing Li 108 7 0 18 Jul 2022
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition Xinyi Zou Y. Yan Jing-Hao Xue Si Chen Hanzi Wang CVBM 120 12 0 16 Jul 2022
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations Wentao Chen Zheng Zhang Wei Wang Liang Wang Zilei Wang Tieniu Tan 69 10 0 16 Jul 2022
Fine-grained Few-shot Recognition by Deep Object Parsing Ruizhao Zhu Pengkai Zhu Samarth Mishra Venkatesh Saligrama 95 0 0 14 Jul 2022
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation Hao Fei Siteng Huang Wenbin Li Donglin Wang VLM 74 34 0 14 Jul 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 103 6 0 14 Jul 2022
Scaling Novel Object Detection with Weakly Supervised Detection Transformers T. LaBonte Ya-heng Song Xin Eric Wang Vibhav Vineet Neel Joshi ViT 68 8 0 11 Jul 2022
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning Guodong Liu Tongling Wang Shuoxi Zhang Kun He 106 1 0 09 Jul 2022
Few-Example Clustering via Contrastive Learning M-U Jang Sae-Young Chung 41 0 0 08 Jul 2022
Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners Davis Wertheimer Luming Tang Bharath Hariharan 140 0 0 07 Jul 2022
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments P. JishnuJaykumar Yu-Wei Chao Yu Xiang 70 11 0 06 Jul 2022
Task Discrepancy Maximization for Fine-grained Few-Shot Classification Subeen Lee WonJun Moon Jae-Pil Heo 81 47 0 04 Jul 2022
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification Li Shuhan Xuelong Li Xiaowei Xu Kwang-Ting Cheng 76 6 0 03 Jul 2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification Bo Zhang Jiakang Yuan Baopu Li Tao Chen Jiayuan Fan Botian Shi ViT 121 34 0 02 Jul 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning Lisha Chen Songtao Lu Tianyi Chen MLT 78 15 0 27 Jun 2022
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning Ali Lotfi-Rezaabad Sidharth Kumar S. Vishwanath Jonathan I. Tamir SSL 43 1 0 21 Jun 2022
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification Massimiliano Patacchiola J. Bronskill Aliaksandra Shysheya Katja Hofmann Sebastian Nowozin Richard Turner VLM 72 10 0 20 Jun 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 107 1 0 18 Jun 2022
Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification Xueliang Wang Jianyu Cai Shuiwang Ji Houqiang Li Feng Wu Jie Wang 46 0 0 16 Jun 2022
Channel Importance Matters in Few-Shot Image Classification Xu Luo Jing Xu Zenglin Xu VLM 90 42 0 16 Jun 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification Adrian El Baz Ihsan Ullah Edesio Alcobaça André C. P. L. F. de Carvalho Hong Chen ... Ekrem Öztürk J. V. Rijn Haozhe Sun Xin Wang Wenwu Zhu 79 12 0 15 Jun 2022
Rethinking Generalization in Few-Shot Classification Markus Hiller Rongkai Ma Mehrtash Harandi Tom Drummond OCL VLM 112 57 0 15 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 69 8 0 15 Jun 2022
Masked Autoencoders are Robust Data Augmentors Haohang Xu Shuangrui Ding Xiaopeng Zhang H. Xiong 139 28 0 10 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples Duong H. Le Khoi Duc Minh Nguyen Khoi Nguyen Quoc-Huy Tran Rang Nguyen Binh-Son Hua OODD 95 40 0 08 Jun 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning Mandi Zhao Pieter Abbeel Stephen James OffRL 149 34 0 07 Jun 2022
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers Louis-Franccois Bouchard Mohsen Ben Lazreg Matthew Toews 66 0 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 89 23 0 31 May 2022
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks Marcin Przewiȩźlikowski P. Przybysz Jacek Tabor Maciej Ziȩba Przemysław Spurek 111 20 0 31 May 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification Zaiyun Yang VLM DRL 71 1 0 30 May 2022
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection Chendong Zhao Jianzong Wang LeiLai Li Xiaoyang Qu Jing Xiao 101 10 0 24 May 2022
Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 247 114 0 19 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 128 387 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 78 6 0 13 May 2022
Feature Extractor Stacking for Cross-domain Few-shot Learning Hongyu Wang Eibe Frank Bernhard Pfahringer Michael Mayo G. Holmes 73 5 0 12 May 2022
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning Jaehoon Oh Sungnyun Kim Namgyu Ho Jin-Hwa Kim Hwanjun Song Se-Young Yun 69 8 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 59 4 0 10 May 2022
PGADA: Perturbation-Guided Adversarial Alignment for Few-shot Learning Under the Support-Query Shift Siyang Jiang Wei Ding Hsi-Wen Chen Minghai Chen OOD 84 6 0 08 May 2022