Browse > Methodology > Domain Adaptation > Unsupervised Domain Adaptation

Unsupervised Domain Adaptation

105 papers with code · Methodology
Subtask of Domain Adaptation

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Latest papers with code

Quantum correlation alignment for unsupervised domain adaptation

7 May 2020xihechn/QCORAL

Correlation alignment (CORAL), a representative domain adaptation (DA) algorithm, decorrelates and aligns a labelled source domain dataset to an unlabelled target domain dataset to minimize the domain shift such that a classifier can be applied to predict the target domain labels.

UNSUPERVISED DOMAIN ADAPTATION

0
07 May 2020

Maximum Density Divergence for Domain Adaptation

27 Apr 2020lijin118/ATM

In this paper, we propose a new domain adaptation method named Adversarial Tight Match (ATM) which enjoys the benefits of both adversarial training and metric learning.

METRIC LEARNING UNSUPERVISED DOMAIN ADAPTATION

11
27 Apr 2020

Towards Accurate and Robust Domain Adaptation under Noisy Environments

27 Apr 2020zhyhan/RDA

In non-stationary environments, learning machines usually confront the domain adaptation scenario where the data distribution does change over time.

UNSUPERVISED DOMAIN ADAPTATION

4
27 Apr 2020

Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition

21 Apr 2020MRLoghmani/relative-rotation

Unsupervised Domain Adaptation (DA) exploits the supervision of a label-rich source dataset to make predictions on an unlabeled target dataset by aligning the two data distributions.

OBJECT RECOGNITION UNSUPERVISED DOMAIN ADAPTATION

1
21 Apr 2020

BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation

2 Apr 2020valeoai/buda

In this work, we define and address "Boundless Unsupervised Domain Adaptation" (BUDA), a novel problem in semantic segmentation.

SEMANTIC SEGMENTATION UNSUPERVISED DOMAIN ADAPTATION ZERO-SHOT LEARNING

22
02 Apr 2020

Gradually Vanishing Bridge for Adversarial Domain Adaptation

30 Mar 2020cuishuhao/GVB

On the discriminator, GVB contributes to enhance the discriminating ability, and balance the adversarial training process.

UNSUPERVISED DOMAIN ADAPTATION

22
30 Mar 2020

Domain Adaptive Ensemble Learning

16 Mar 2020KaiyangZhou/Dassl.pytorch

Each such classifier is an expert to its own domain and a non-expert to others.

DOMAIN GENERALIZATION UNSUPERVISED DOMAIN ADAPTATION

107
16 Mar 2020

Adapting Object Detectors with Conditional Domain Normalization

16 Mar 2020psu1/CDN

Then this domain-vector is used to encode the features from another domain through a conditional normalization, resulting in different domains' features carrying the same domain attribute.

3D OBJECT DETECTION UNSUPERVISED DOMAIN ADAPTATION

3
16 Mar 2020

Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation

8 Mar 2020layumi/Seg-Uncertainty

This paper focuses on the unsupervised domain adaptation of transferring the knowledge from the source domain to the target domain in the context of semantic segmentation.

UNSUPERVISED DOMAIN ADAPTATION UNSUPERVISED SEMANTIC SEGMENTATION

74
08 Mar 2020

Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation

8 Mar 2020dongliangchang/Mutual-to-Separate

The key insight lies with how we exploit the mutually beneficial information between two networks; (a) to separate samples of known and unknown classes, (b) to maximize the domain confusion between source and target domain without the influence of unknown samples.

UNSUPERVISED DOMAIN ADAPTATION

7
08 Mar 2020