Self-Supervised Prototypical Transfer Learning for Few-Shot
Classification

Self-Supervised Prototypical Transfer Learning for Few-Shot Classification

19 June 2020

Matthias Grossglauser

Papers citing "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"

11 / 11 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 46 4 0 28 Jan 2025
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers Asifullah Khan A. Sohail M. Fiaz Mehdi Hassan Tariq Habib Afridi ... Muhammad Zaigham Zaheer Kamran Ali Tangina Sultana Ziaurrehman Tanoli Naeem Akhter 43 3 0 30 Aug 2024
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning Xingping Dong Jianbing Shen Ling Shao 11 7 0 27 Sep 2022
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification Li Shuhan X. Li Xiaowei Xu Kwang-Ting Cheng 15 6 0 03 Jul 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 14 4 0 18 Apr 2022
Self-Supervised Class-Cognizant Few-Shot Classification Ojas Kishore Shirekar Hadi Jamali Rad SSL 27 4 0 15 Feb 2022
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling Liwen Wang Xuefeng Li Jiachi Liu Keqing He Yuanmeng Yan Weiran Xu VLM 47 24 0 07 Oct 2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation Jay Patravali Gaurav Mittal Ye Yu Fuxin Li Mei Chen 11 19 0 30 Sep 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 16 19 0 23 Jul 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 53 35 0 23 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017