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Exploring the Benefits of Vision Foundation Models for Unsupervised
  Domain Adaptation

Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation

14 June 2024
B. B. Englert
Fabrizio J. Piva
Tommie Kerssies
Daan de Geus
Gijs Dubbelman
ArXivPDFHTML

Papers citing "Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation"

9 / 9 papers shown
Title
What is the Added Value of UDA in the VFM Era?
What is the Added Value of UDA in the VFM Era?
B. B. Englert
Tommie Kerssies
Gijs Dubbelman
44
0
0
25 Apr 2025
Multi-label classification for multi-temporal, multi-spatial coral reef condition monitoring using vision foundation model with adapter learning
Multi-label classification for multi-temporal, multi-spatial coral reef condition monitoring using vision foundation model with adapter learning
Xinlei Shao
Hongruixuan Chen
Fan Zhao
Kirsty Magson
Jundong Chen
Peiran Li
J. Wang
Jun Sasaki
44
0
0
29 Mar 2025
Your ViT is Secretly an Image Segmentation Model
Your ViT is Secretly an Image Segmentation Model
Tommie Kerssies
Niccolò Cavagnero
Alexander Hermans
Narges Norouzi
Giuseppe Averta
Bastian Leibe
Gijs Dubbelman
Daan de Geus
ViT
VLM
64
1
0
24 Mar 2025
A Study on Unsupervised Domain Adaptation for Semantic Segmentation in
  the Era of Vision-Language Models
A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models
Manuel Schwonberg
Claus Werner
Hanno Gottschalk
Carsten Meyer
VLM
90
0
0
25 Nov 2024
First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating
  Robustness of Vision Foundation Models for Semantic Segmentation
First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation
Tommie Kerssies
Daan de Geus
Gijs Dubbelman
64
2
0
25 Sep 2024
The BRAVO Semantic Segmentation Challenge Results in UNCV2024
The BRAVO Semantic Segmentation Challenge Results in UNCV2024
Tuan-Hung Vu
Eduardo Valle
Andrei Bursuc
Tommie Kerssies
Daan de Geus
...
Michael J. Smith
F. Ferrie
Shamik Basu
Christos Sakaridis
Luc Van Gool
UQCV
VLM
41
3
0
23 Sep 2024
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
305
7,443
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
317
5,785
0
29 Apr 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
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