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. 2401.13987
  4. Cited By
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks

Cross-Domain Few-Shot Learning via Adaptive Transformer Networks

25 January 2024
Naeem Paeedeh
Mahardhika Pratama
M. A. Ma'sum
Wolfgang Mayer
Zehong Cao
Ryszard Kowlczyk
ArXivPDFHTML

Papers citing "Cross-Domain Few-Shot Learning via Adaptive Transformer Networks"

8 / 8 papers shown
Title
A Cross-Domain Few-Shot Learning Method Based on Domain Knowledge Mapping
A Cross-Domain Few-Shot Learning Method Based on Domain Knowledge Mapping
Jiajun Chen
Hongpeng Yin
Yifu Yang
26
0
0
09 Apr 2025
Few-Shot Class Incremental Learning via Robust Transformer Approach
Few-Shot Class Incremental Learning via Robust Transformer Approach
Naeem Paeedeh
Mahardhika Pratama
S. Wibirama
Wolfgang Mayer
Zehong Cao
Ryszard Kowalczyk
CLL
24
2
0
08 May 2024
Dual Adaptive Representation Alignment for Cross-domain Few-shot
  Learning
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning
Yifan Zhao
Tong Zhang
Jia Li
Yonghong Tian
44
19
0
18 Jun 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
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
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,775
0
29 Apr 2021
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
212
330
0
22 Jul 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,684
0
09 Mar 2017
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
177
9,327
0
28 May 2015
1