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Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation

18 July 2022

Papers citing "Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation"

24 / 24 papers shown

Title
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 71 168 0 09 Apr 2022
Fine-Grained Few Shot Learning with Foreground Object Transformation Chaofei Wang S. Song Qisen Yang Xiang Li Gao Huang 88 23 0 13 Sep 2021
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 81 187 0 22 Aug 2021
FT-TDR: Frequency-guided Transformer and Top-Down Refinement Network for Blind Face Inpainting Junke Wang Shaoxiang Chen Zuxuan Wu Yu-Gang Jiang CVBM 51 25 0 10 Aug 2021
Few-Shot Learning by Integrating Spatial and Frequency Representation Xiangyu Chen Guanghui Wang 61 27 0 11 May 2021
Pareto Self-Supervised Training for Few-Shot Learning Zhengyu Chen Jixie Ge Heshen Zhan Siteng Huang Donglin Wang 66 119 0 16 Apr 2021
Benchmarking Representation Learning for Natural World Image Collections Grant Van Horn Elijah Cole Sara Beery Kimberly Wilber Serge J. Belongie Oisin Mac Aodha SSL VLM 74 176 0 30 Mar 2021
Negative Margin Matters: Understanding Margin in Few-shot Classification Bin Liu Yue Cao Yutong Lin Qi Li Zheng Zhang Mingsheng Long Han Hu 82 323 0 26 Mar 2020
Learning in the Frequency Domain Kai Xu Minghai Qin Fei Sun Yuhao Wang Yen-kuang Chen Fengbo Ren 90 406 0 27 Feb 2020
Deep Learning for Person Re-identification: A Survey and Outlook Mang Ye Jianbing Shen Gaojie Lin Tao Xiang Ling Shao Guosheng Lin 103 1,583 0 13 Jan 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 262 640 0 17 Oct 2019
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification Huaxi Huang Junjie Zhang Jian Zhang Jingsong Xu Qiang Wu 87 120 0 04 Aug 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Puneet Mangla M. Singh Abhishek Sinha Nupur Kumari V. Balasubramanian Balaji Krishnamurthy SSL 92 328 0 28 Jul 2019
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning Spyros Gidaris N. Komodakis 75 231 0 03 May 2019
Dense Classification and Implanting for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard Andrei Bursuc VLM 60 197 0 12 Mar 2019
Deep Residual Learning in the JPEG Transform Domain Max Ehrlich L. Davis 73 122 0 31 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 132 666 0 10 Dec 2018
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples Xiu-Shen Wei Peng Wang Lingqiao Liu Chunhua Shen Jianxin Wu 66 124 0 11 May 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 304 4,049 0 16 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 172 1,240 0 10 Nov 2017
Few-Shot Image Recognition by Predicting Parameters from Activations Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille VLM 81 554 0 12 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 825 11,943 0 09 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 373 7,333 0 13 Jun 2016
Part-based R-CNNs for Fine-grained Category Detection Ning Zhang Jeff Donahue Ross B. Girshick Trevor Darrell ObjD 122 1,224 0 15 Jul 2014