Fine-Grained Few Shot Learning with Foreground Object Transformation

Fine-Grained Few Shot Learning with Foreground Object Transformation

13 September 2021

Xiang Li

Gao Huang

Papers citing "Fine-Grained Few Shot Learning with Foreground Object Transformation"

10 / 10 papers shown

Title
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition Haiqi Liu C. L. P. Chen Xinrong Gong Tong Zhang 21 9 0 12 May 2023
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning Yanjun Qi Han Sun Ningzhong Liu Huiyu Zhou 19 7 0 22 Oct 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 11 6 0 18 Jul 2022
Fine-grained Few-shot Recognition by Deep Object Parsing Ruizhao Zhu Pengkai Zhu Samarth Mishra Venkatesh Saligrama 14 0 0 14 Jul 2022
Learning Compositional Representations for Effective Low-Shot Generalization Samarth Mishra Pengkai Zhu Venkatesh Saligrama OCL 17 3 0 17 Apr 2022
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 202 629 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 181 351 0 12 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 252 11,677 0 09 Mar 2017
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification Tianjun Xiao Yichong Xu Kuiyuan Yang Jiaxing Zhang Yuxin Peng Zheng-Wei Zhang 153 788 0 24 Nov 2014