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. 2309.03989
  4. Cited By
CDFSL-V: Cross-Domain Few-Shot Learning for Videos

CDFSL-V: Cross-Domain Few-Shot Learning for Videos

7 September 2023
Sarinda Samarasinghe
Mamshad Nayeem Rizve
Navid Kardan
M. Shah
ArXivPDFHTML

Papers citing "CDFSL-V: Cross-Domain Few-Shot Learning for Videos"

12 / 12 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
21
0
0
09 Apr 2025
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
Yilong Wang
Zilin Gao
Qilong Wang
Zhaofeng Chen
P. Li
Q. Hu
72
1
0
28 Nov 2024
A Comprehensive Review of Few-shot Action Recognition
A Comprehensive Review of Few-shot Action Recognition
Yuyang Wanyan
Xiaoshan Yang
Weiming Dong
Changsheng Xu
VLM
56
3
0
20 Jul 2024
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain
  Few-shot Action Recognition
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition
Fei-Yu Guo
YiKang Wang
Han Qi
Li Zhu
Jing Sun
18
2
0
08 Jul 2024
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot
  Action Recognition Models
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models
Georgia Markham
M. Balamurali
Andrew J. Hill
32
1
0
03 Jun 2024
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action
  Recognition
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition
Masashi Hatano
Ryo Hachiuma
Ryoske Fujii
Hideo Saito
EgoV
24
4
0
30 May 2024
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action
  Recognition
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition
Yuke Li
Guangyi Chen
Ben Abramowitz
Stefano Anzellotti
Donglai Wei
TTA
32
1
0
20 Feb 2024
Egocentric RGB+Depth Action Recognition in Industry-Like Settings
Egocentric RGB+Depth Action Recognition in Industry-Like Settings
Jyoti Kini
Sarah Fleischer
I. Dave
Mubarak Shah
EgoV
16
2
0
25 Sep 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
23
13
0
15 Mar 2023
Towards Realistic Semi-Supervised Learning
Towards Realistic Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
M. Shah
34
44
0
05 Jul 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
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
283
5,723
0
29 Apr 2021
1