ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.05517
  4. Cited By
Learning to Affiliate: Mutual Centralized Learning for Few-shot
  Classification

Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification

10 June 2021
Yang Liu
Weifeng Zhang
Chao Xiang
Tu Zheng
Deng Cai
Xiaofei He
    FedML
ArXivPDFHTML

Papers citing "Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification"

4 / 4 papers shown
Title
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
Feihong He
Gang Li
Lingyu Si
VLM
ViT
52
1
0
05 Oct 2023
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
Ye Wang
Yaxiong Wang
Guoshuai Zhao
Xueming Qian
CLL
29
1
0
19 Jun 2023
Local Propagation for Few-Shot Learning
Local Propagation for Few-Shot Learning
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
24
9
0
05 Jan 2021
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
201
330
0
22 Jul 2020
1