Explanation-Guided Training for Cross-Domain Few-Shot Classification

Explanation-Guided Training for Cross-Domain Few-Shot Classification

17 July 2020

Sebastian Lapuschkin

Ngai-man Cheung

Alexander Binder

Papers citing "Explanation-Guided Training for Cross-Domain Few-Shot Classification"

16 / 16 papers shown

Title
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning? Yiyi Zhang Ying Zheng Xiaogang Xu Jun Wang SSL 56 4 0 28 Jan 2025
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting Tiange Zhang Qing Cai Feng Gao Lin Qi Junyu Dong 42 1 0 24 Jun 2024
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification Marzi Heidari Abdullah Alchihabi Qing En Yuhong Guo VLM 34 0 0 04 Sep 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 32 13 0 15 Mar 2023
Adversarial Feature Augmentation for Cross-domain Few-shot Classification Yan Hu A. J. Ma 34 47 0 23 Aug 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification Yunqing Zhao Ngai-man Cheung BDL 23 12 0 23 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization Huali Xu Shuaifeng Zhi Li Liu 35 4 0 17 Aug 2022
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics Yiqiao Li Jianlong Zhou Sunny Verma Fang Chen XAI 34 39 0 26 Jul 2022
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification Li Shuhan Xiaomeng Li Xiaowei Xu Kwang-Ting Cheng 29 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 50 344 0 13 May 2022
This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation Srishti Gautam Marina M.-C. Höhne Stine Hansen Robert Jenssen Michael C. Kampffmeyer 27 49 0 27 Aug 2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation Haoqing Wang Zhihong Deng 29 119 0 29 Apr 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark Vincent Dumoulin N. Houlsby Utku Evci Xiaohua Zhai Ross Goroshin Sylvain Gelly Hugo Larochelle 27 26 0 06 Apr 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 25 68 0 08 Jan 2021
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 204 630 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017