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. 1710.06924
  4. Cited By
VisDA: The Visual Domain Adaptation Challenge

VisDA: The Visual Domain Adaptation Challenge

18 October 2017
Xingchao Peng
Ben Usman
Neela Kaushik
Judy Hoffman
Dequan Wang
Kate Saenko
    OOD
ArXivPDFHTML

Papers citing "VisDA: The Visual Domain Adaptation Challenge"

24 / 24 papers shown
Title
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
Xinru Meng
Han Sun
Qingbin Liu
Ningzhong Liu
Huiyu Zhou
99
0
0
23 Apr 2025
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Haoxin Li
Boyang Li
CoGe
90
0
0
03 Mar 2025
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity
Nesryne Mejri
Enjie Ghorbel
Anis Kacem
Pavel Chernakov
Niki Maria Foteinopoulou
Djamila Aouada
78
0
0
28 Feb 2025
Stein Discrepancy for Unsupervised Domain Adaptation
Stein Discrepancy for Unsupervised Domain Adaptation
Anneke von Seeger
Dongmian Zou
Gilad Lerman
126
0
0
24 Feb 2025
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
Ahmad Chaddad
Yihang Wu
Yuchen Jiang
Ahmed Bouridane
Christian Desrosiers
133
2
0
15 Feb 2025
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
Scott Geng
Cheng-Yu Hsieh
Vivek Ramanujan
Matthew Wallingford
Chun-Liang Li
Pang Wei Koh
Ranjay Krishna
DiffM
88
7
0
03 Jan 2025
Collaborative Learning for Enhanced Unsupervised Domain Adaptation
Collaborative Learning for Enhanced Unsupervised Domain Adaptation
Minhee Cho
Hyesong Choi
Hayeon Jo
Dongbo Min
101
1
0
04 Sep 2024
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
Samar Khanna
Medhanie Irgau
David B. Lobell
Stefano Ermon
VLM
68
4
0
16 Jun 2024
Towards Domain Adaptive Neural Contextual Bandits
Towards Domain Adaptive Neural Contextual Bandits
Ziyan Wang
Hao Wang
Hao Wang
96
0
0
13 Jun 2024
Proxy Denoising for Source-Free Domain Adaptation
Proxy Denoising for Source-Free Domain Adaptation
Song Tang
Wenxin Su
Mao Ye
Jianwei Zhang
Xiatian Zhu
Xiatian Zhu
114
1
0
03 Jun 2024
Optimal Transport for Domain Adaptation through Gaussian Mixture Models
Optimal Transport for Domain Adaptation through Gaussian Mixture Models
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OT
79
1
0
18 Mar 2024
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain
Lianyu Wang
Meng Wang
Daoqiang Zhang
Huazhu Fu
39
2
0
05 Sep 2022
Domain Adaptation for Visual Applications: A Comprehensive Survey
Domain Adaptation for Visual Applications: A Comprehensive Survey
G. Csurka
OOD
49
507
0
17 Feb 2017
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set
  for Object Detection in Video
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
Esteban Real
Jonathon Shlens
S. Mazzocchi
Xin Pan
Vincent Vanhoucke
VOS
ObjD
60
534
0
02 Feb 2017
FCNs in the Wild: Pixel-level Adversarial and Constraint-based
  Adaptation
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Judy Hoffman
Dequan Wang
Feng Yu
Trevor Darrell
OOD
51
787
0
08 Dec 2016
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
154
2,543
0
07 Oct 2016
Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video
  Object Segmentation
Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation
Huiling Wang
T. Raiko
L. Lensu
T. Wang
J. Karhunen
22
24
0
07 Jun 2016
Precomputed Real-Time Texture Synthesis with Markovian Generative
  Adversarial Networks
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
Chuan Li
Michael Wand
GAN
69
1,431
0
15 Apr 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
173
10,202
0
27 Mar 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov
V. Lebedev
Andrea Vedaldi
Victor Lempitsky
3DH
39
946
0
10 Mar 2016
Simultaneous Deep Transfer Across Domains and Tasks
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng
Judy Hoffman
Trevor Darrell
Kate Saenko
OOD
45
1,367
0
08 Oct 2015
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with
  Rendered 3D Model Views
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
Hao Su
C. Qi
Yangyan Li
Leonidas Guibas
76
737
0
21 May 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
166
5,163
0
10 Feb 2015
Equivalence of distance-based and RKHS-based statistics in hypothesis
  testing
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
Dino Sejdinovic
Bharath K. Sriperumbudur
Arthur Gretton
Kenji Fukumizu
125
681
0
25 Jul 2012
1