Revisiting Fine-tuning for Few-shot Learning

1 October 2019

Papers citing "Revisiting Fine-tuning for Few-shot Learning"

11 / 11 papers shown

Title
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models Tongkun Liu Bing Li Xiao Jin Yupeng Shi Qiuying Li Xiang Wei 66 0 0 03 Feb 2025
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection Lin Zhu Yifeng Yang Qinying Gu Xinbing Wang Cheng Zhou Nanyang Ye VLM 34 2 0 26 May 2024
Dual-path Frequency Discriminators for Few-shot Anomaly Detection Yuhu Bai Jiangning Zhang Yuhang Dong Guanzhong Tian Liang Liu Yunkang Cao Yabiao Wang Chengjie Wang 46 2 0 07 Mar 2024
A Graph-Based Approach for Category-Agnostic Pose Estimation Or Hirschorn S. Avidan 42 10 0 29 Nov 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 46 13 0 15 Mar 2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning Adam Jelley Amos Storkey Antreas Antoniou Sam Devlin 32 6 0 30 Jan 2023
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 56 345 0 13 May 2022
DAMSL: Domain Agnostic Meta Score-based Learning J. Cai B. Cai S. Shen 13 5 0 06 Jun 2021
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 109 1,183 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 192 351 0 12 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 466 11,715 0 09 Mar 2017