Browse > Methodology > Domain Adaptation > Unsupervised Domain Adaptation

Unsupervised Domain Adaptation

63 papers with code · Methodology
Subtask of Domain Adaptation

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The Role of Embedding Complexity in Domain-invariant Representations

13 Oct 2019chingyaoc/mdm

In this work, we study, theoretically and empirically, the effect of the embedding complexity on generalization to the target domain.

UNSUPERVISED DOMAIN ADAPTATION

1
13 Oct 2019

Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation

12 Oct 2019postBG/DTA.pytorch

Recent works on domain adaptation exploit adversarial training to obtain domain-invariant feature representations from the joint learning of feature extractor and domain discriminator networks.

IMAGE CLASSIFICATION SEMANTIC SEGMENTATION UNSUPERVISED DOMAIN ADAPTATION

26
12 Oct 2019

Unsupervised Domain Adaptation through Self-Supervision

26 Sep 2019yueatsprograms/uda_release

This paper addresses unsupervised domain adaptation, the setting where labeled training data is available on a source domain, but the goal is to have good performance on a target domain with only unlabeled data.

UNSUPERVISED DOMAIN ADAPTATION

17
26 Sep 2019

Confidence Regularized Self-Training

26 Aug 2019yzou2/CRST

Recent advances in domain adaptation show that deep self-training presents a powerful means for unsupervised domain adaptation.

IMAGE CLASSIFICATION SEMANTIC SEGMENTATION UNSUPERVISED DOMAIN ADAPTATION

55
26 Aug 2019

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation

12 Aug 2019MIPT-Oulu/RobustCartilageSegmentation

Degeneration of articular cartilage (AC) is actively studied in knee osteoarthritis (OA) research via magnetic resonance imaging (MRI).

UNSUPERVISED DOMAIN ADAPTATION

0
12 Aug 2019

Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation

29 Jul 2019ascust/MADA

To tackle the unsupervised domain adaptation problem, we explore the possibilities to generate high-quality labels as proxy labels to supervise the training on target data.

SEMANTIC SEGMENTATION UNSUPERVISED DOMAIN ADAPTATION

1
29 Jul 2019

Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation

26 Jun 2019EmmaW8/BEAL

The cross-domain discrepancy (domain shift) hinders the generalization of deep neural networks to work on different domain datasets. In this work, we present an unsupervised domain adaptation framework, called Boundary and Entropy-driven Adversarial Learning (BEAL), to improve the OD and OC segmentation performance, especially on the ambiguous boundary regions.

SEMANTIC SEGMENTATION UNSUPERVISED DOMAIN ADAPTATION

31
26 Jun 2019

Attending to Discriminative Certainty for Domain Adaptation

CVPR 2019 DelTA-Lab-IITK/CADA

In this paper, we aim to solve for unsupervised domain adaptation of classifiers where we have access to label information for the source domain while these are not available for a target domain.

UNSUPERVISED DOMAIN ADAPTATION

12
08 Jun 2019

All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation

CVPR 2019 a514514772/DISE-Domain-Invariant-Structure-Extraction

In this paper we tackle the problem of unsupervised domain adaptation for the task of semantic segmentation, where we attempt to transfer the knowledge learned upon synthetic datasets with ground-truth labels to real-world images without any annotation.

SEMANTIC SEGMENTATION UNSUPERVISED DOMAIN ADAPTATION

68
01 Jun 2019