ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.13002
  4. Cited By
Maximizing Cosine Similarity Between Spatial Features for Unsupervised
  Domain Adaptation in Semantic Segmentation
v1v2v3 (latest)

Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
25 February 2021
Inseop Chung
Daesik Kim
Nojun Kwak
ArXiv (abs)PDFHTML

Papers citing "Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation"

14 / 14 papers shown
Unsupervised Domain Adaptation via Similarity-based Prototypes for Cross-Modality Segmentation
Unsupervised Domain Adaptation via Similarity-based Prototypes for Cross-Modality Segmentation
Ziyu Ye
Chen Ju
Chaofan Ma
Xiaoyun Zhang
OOD
209
0
0
23 Oct 2025
Frequency-aware Feature Fusion for Dense Image Prediction
Frequency-aware Feature Fusion for Dense Image PredictionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Linwei Chen
Ying Fu
Lin Gu
Chenggang Yan
Tatsuya Harada
Gao Huang
3DV
335
198
0
23 Aug 2024
Leveraging Foundation Models via Knowledge Distillation in Multi-Object
  Tracking: Distilling DINOv2 Features to FairMOT
Leveraging Foundation Models via Knowledge Distillation in Multi-Object Tracking: Distilling DINOv2 Features to FairMOT
Niels G. Faber
Seyed Sahand Mohamadi Ziabari
Fatemeh Karimi Nejadasl
389
5
0
25 Jul 2024
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models
Xuewen Liu
Zhikai Li
Junrui Xiao
Mengjuan Chen
Jianquan Li
Qingyi Gu
MQ
581
22
0
09 Jan 2024
Balancing Logit Variation for Long-tailed Semantic Segmentation
Balancing Logit Variation for Long-tailed Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2023
Yuchao Wang
Jingjing Fei
Haochen Wang
Wei Li
Tianpeng Bao
Liwei Wu
Rui Zhao
Yujun Shen
307
42
0
03 Jun 2023
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic
  Segmentation
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic SegmentationInternational Journal of Computer Vision (IJCV), 2023
Haochen Wang
Yujun Shen
Jingjing Fei
Wei Li
Liwei Wu
Yuxi Wang
Zhaoxiang Zhang
OOD
250
12
0
23 May 2023
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for
  Visual Perception in Automated Driving
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated DrivingIEEE Access (IEEE Access), 2023
Manuel Schwonberg
J. Niemeijer
Jan-Aike Termöhlen
Jörg P. Schäfer
Nico M. Schmidt
Hanno Gottschalk
Tim Fingscheidt
OODAI4CE
279
51
0
24 Apr 2023
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Chuanglu Zhu
Kebin Liu
Wenqi Tang
Ke Mei
Jiaqi Zou
Tiejun Huang
374
10
0
14 Feb 2023
Learning from Future: A Novel Self-Training Framework for Semantic
  Segmentation
Learning from Future: A Novel Self-Training Framework for Semantic SegmentationNeural Information Processing Systems (NeurIPS), 2022
Ye Du
Yujun Shen
Haochen Wang
Jingjing Fei
Wei Li
Liwei Wu
Rui Zhao
Zehua Fu
Qingjie Liu
299
39
0
15 Sep 2022
Unsupervised Domain Adaptation for One-stage Object Detector using
  Offsets to Bounding Box
Unsupervised Domain Adaptation for One-stage Object Detector using Offsets to Bounding BoxEuropean Conference on Computer Vision (ECCV), 2022
Jayeon Yoo
Inseop Chung
Nojun Kwak
ObjD
364
5
0
20 Jul 2022
Confidence-Guided Unsupervised Domain Adaptation for Cerebellum
  Segmentation
Confidence-Guided Unsupervised Domain Adaptation for Cerebellum Segmentation
Xuan Li
P. Toussaint
Alan C. Evans
Xue Liu
242
0
0
14 Jun 2022
Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation
  for Semantic Segmentation
Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation
Inseop Chung
Jayeon Yoo
Nojun Kwak
244
6
0
21 Oct 2021
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.5K
4,857
0
17 Jun 2020
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
1.5K
5,156
0
17 Feb 2017
1
Page 1 of 1