Mixture-based Feature Space Learning for Few-shot Image Classification

24 November 2020

Arman Afrasiyabi

Jean-François Lalonde

Christian Gagné

VLM

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Papers citing "Mixture-based Feature Space Learning for Few-shot Image Classification"

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Title
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Fatemeh Askari Amirreza Fateh Mohammad Reza Mohammadi 85 3 0 17 Jan 2025
Multi-Level Correlation Network For Few-Shot Image Classification Yunkai Dang M. Zhang Zhengyu Chen Xinliang Zhang Zheng Wang Meijun Sun Donglin Wang 86 1 0 04 Dec 2024
Siamese Transformer Networks for Few-shot Image Classification Weihao Jiang Shuoxi Zhang Kun He ViT 41 0 0 16 Jul 2024
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text Yuyu Jia Qing Zhou Wei Huang Junyu Gao Qi. Wang VLM 37 1 0 21 May 2024
Class-relevant Patch Embedding Selection for Few-Shot Image Classification Weihao Jiang Haoyang Cui Kun He VLM 44 0 0 06 May 2024
Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning Weihao Jiang Chang-Shu Liu Kun He ViT 56 0 0 06 May 2024
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifolds H. Tabealhojeh S. Roy Peyman Adibi Hossein Karshenas 30 0 0 28 Feb 2024
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition Hefeng Wu Guangzhi Ye Ziyang Zhou Ling Tian Qing Wang Liang Lin 26 3 0 13 Jan 2024
Mitigating the Effect of Incidental Correlations on Part-based Learning Gaurav Bhatt Deepayan Das Leonid Sigal Vineeth N. Balasubramanian 24 4 0 30 Sep 2023
Supervised Masked Knowledge Distillation for Few-Shot Transformers Hanxi Lin G. Han Jiawei Ma Shiyuan Huang Xudong Lin Shih-Fu Chang 24 35 0 25 Mar 2023
Cross-Domain Video Anomaly Detection without Target Domain Adaptation Abhishek Aich Kuan-Chuan Peng A. Roy-Chowdhury 26 24 0 14 Dec 2022
Cap2Aug: Caption guided Image to Image data Augmentation Aniket Roy Anshul B. Shah Ketul Shah Anirban Roy Rama Chellappa DiffM 23 0 0 11 Dec 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 13 6 0 18 Jul 2022
Fine-grained Few-shot Recognition by Deep Object Parsing Ruizhao Zhu Pengkai Zhu Samarth Mishra Venkatesh Saligrama 22 0 0 14 Jul 2022
Rethinking Generalization in Few-Shot Classification Markus Hiller Rongkai Ma Mehrtash Harandi Tom Drummond OCL VLM 24 55 0 15 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile Dong Chen Lingfei Wu Siliang Tang Xiao Yun Bo Long Yueting Zhuang VLM NoLa 23 9 0 04 Jun 2022
Matching Feature Sets for Few-Shot Image Classification Arman Afrasiyabi Hugo Larochelle Jean-François Lalonde Christian Gagné VLM 25 72 0 02 Apr 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning Yang He Weihan Liang Dongyang Zhao Hong-Yu Zhou Weifeng Ge Yizhou Yu Wenqiang Zhang ViT 25 45 0 17 Mar 2022
Worst Case Matters for Few-Shot Recognition Minghao Fu Yunhao Cao Jianxin Wu 11 8 0 13 Mar 2022
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 204 629 0 17 Oct 2019
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 186 351 0 12 Jun 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 196 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 170 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017