Disentangled Feature Representation for Few-shot Image Classification

Disentangled Feature Representation for Few-shot Image Classification

26 September 2021

Yufei Wang

Papers citing "Disentangled Feature Representation for Few-shot Image Classification"

11 / 11 papers shown

Title
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 19 77 0 21 Nov 2022
Contributions of Shape, Texture, and Color in Visual Recognition Yunhao Ge Yao Xiao Zhi-Qin John Xu X. Wang Laurent Itti 3DH 16 26 0 19 Jul 2022
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 202 316 0 16 Jan 2021
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification Yan Xiao Yaochu Jin K. Hao 26 43 0 10 Jan 2021
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 201 328 0 22 Jul 2020
Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration Xin Li Xin Jin Jianxin Lin Tao Yu Sen Liu Yaojun Wu Wei Zhou Zhibo Chen 71 40 0 22 Jul 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Yinbo Chen Zhuang Liu Huijuan Xu Trevor Darrell Xiaolong Wang 158 339 0 09 Mar 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 202 627 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 178 350 0 12 Jun 2018
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 127 302 0 11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017