Revisiting Metric Learning for Few-Shot Image Classification

Revisiting Metric Learning for Few-Shot Image Classification

6 July 2019

Xiaomeng Li

Pheng-Ann Heng

Papers citing "Revisiting Metric Learning for Few-Shot Image Classification"

9 / 9 papers shown

Title
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios Liangjun Feng Jiancheng Zhao Chunhui Zhao VLM 15 0 0 08 Feb 2023
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification Li Shuhan X. Li Xiaowei Xu Kwang-Ting Cheng 13 6 0 03 Jul 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 36 342 0 13 May 2022
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning Miao Zhang Miaojing Shi Li Li VLM 35 20 0 30 Oct 2021
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction M. Mendez-Ruiz Jorge Gonzalez-Zapata G. Ochoa-Ruiz Andres Mendez-Vazquez 25 1 0 06 Jul 2021
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural Networks K. Al-Kaabi R. Monsefi Davood Zabihzadeh 25 8 0 11 Jun 2021
A Simple and Effective Framework for Pairwise Deep Metric Learning Qi Qi Yan Yan Xiaoyu Wang Tianbao Yang 8 26 0 24 Dec 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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 278 11,677 0 09 Mar 2017