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. 2311.18572
  4. Cited By
Overcoming Label Noise for Source-free Unsupervised Video Domain
  Adaptation

Overcoming Label Noise for Source-free Unsupervised Video Domain Adaptation

30 November 2023
A. Dasgupta
C. V. Jawahar
Karteek Alahari
    TTA
    VLM
ArXivPDFHTML

Papers citing "Overcoming Label Noise for Source-free Unsupervised Video Domain Adaptation"

12 / 12 papers shown
Title
Co-STAR: Collaborative Curriculum Self-Training with Adaptive Regularization for Source-Free Video Domain Adaptation
Co-STAR: Collaborative Curriculum Self-Training with Adaptive Regularization for Source-Free Video Domain Adaptation
Amirhossein Dadashzadeh
Parsa Esmati
Majid Mirmehdi
TTA
VLM
45
0
0
15 Apr 2025
TransferAttn: Transferable-guided Attention Is All You Need for Video
  Domain Adaptation
TransferAttn: Transferable-guided Attention Is All You Need for Video Domain Adaptation
Andre Sacilotti
Samuel Felipe dos Santos
N. Sebe
Jurandy Almeida
ViT
32
0
0
01 Jul 2024
Reliable Source Approximation: Source-Free Unsupervised Domain
  Adaptation for Vestibular Schwannoma MRI Segmentation
Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation
Hongye Zeng
Ke Zou
Zhihao Chen
Ru Zheng
Huazhu Fu
MedIm
DiffM
27
7
0
25 May 2024
Adversarially Masked Video Consistency for Unsupervised Domain
  Adaptation
Adversarially Masked Video Consistency for Unsupervised Domain Adaptation
Xiaoyu Zhu
Junwei Liang
Po-Yao Huang
Alex Hauptmann
23
1
0
24 Mar 2024
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in
  Images and Videos
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and Videos
Tarun Kalluri
Bodhisattwa Prasad Majumder
Manmohan Chandraker
VLM
16
4
0
08 Mar 2024
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang
R. He
Tien-Ping Tan
OOD
VLM
TTA
25
201
0
27 Mar 2023
Unsupervised Video Domain Adaptation for Action Recognition: A
  Disentanglement Perspective
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective
Pengfei Wei
Lingdong Kong
Xinghua Qu
Yi Ren
Zhiqiang Xu
Jing Jiang
Xiang Yin
18
10
0
15 Aug 2022
Model Adaptation: Historical Contrastive Learning for Unsupervised
  Domain Adaptation without Source Data
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
129
210
0
07 Oct 2021
Partial Video Domain Adaptation with Partial Adversarial Temporal
  Attentive Network
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network
Yuecong Xu
Jianfei Yang
Haozhi Cao
Qi Li
K. Mao
Zhenghua Chen
AI4TS
31
32
0
11 Jul 2021
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
272
1,939
0
09 Feb 2021
Video Transformer Network
Video Transformer Network
Daniel Neimark
Omri Bar
Maya Zohar
Dotan Asselmann
ViT
188
375
0
01 Feb 2021
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
300
488
0
05 Mar 2020
1