About

Unsupervised Domain Adaptation is a learning framework to transfer knowledge learned from source domains with a large number of annotated training examples to target domains with unlabeled data only.

Source: Domain-Specific Batch Normalization for Unsupervised Domain Adaptation

Benchmarks

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Datasets

Greatest papers with code

Domain Separation Networks

NeurIPS 2016 tensorflow/models

However, by focusing only on creating a mapping or shared representation between the two domains, they ignore the individual characteristics of each domain.

UNSUPERVISED DOMAIN ADAPTATION

Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks

CVPR 2017 tensorflow/models

Collecting well-annotated image datasets to train modern machine learning algorithms is prohibitively expensive for many tasks.

UNSUPERVISED DOMAIN ADAPTATION

FDA: Fourier Domain Adaptation for Semantic Segmentation

CVPR 2020 albumentations-team/albumentations

We describe a simple method for unsupervised domain adaptation, whereby the discrepancy between the source and target distributions is reduced by swapping the low-frequency spectrum of one with the other.

SEMANTIC SEGMENTATION UNSUPERVISED DOMAIN ADAPTATION

Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning

25 Mar 2019jindongwang/transferlearning

In this paper, we propose a unified Transfer Channel Pruning (TCP) approach for accelerating UDA models.

TRANSFER LEARNING UNSUPERVISED DOMAIN ADAPTATION

Visual Domain Adaptation with Manifold Embedded Distribution Alignment

19 Jul 2018jindongwang/transferlearning

Existing methods either attempt to align the cross-domain distributions, or perform manifold subspace learning.

TRANSFER LEARNING UNSUPERVISED DOMAIN ADAPTATION

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

1 Sep 2020zhaoxin94/awesome-domain-adaptation

To cope with limited labeled training data, many have attempted to directly apply models trained on a large-scale labeled source domain to another sparsely labeled or unlabeled target domain.

UNSUPERVISED DOMAIN ADAPTATION

A Survey of Unsupervised Deep Domain Adaptation

6 Dec 2018zhaoxin94/awsome-domain-adaptation

Deep learning has produced state-of-the-art results for a variety of tasks.

TRANSFER LEARNING UNSUPERVISED DOMAIN ADAPTATION

Learning Generalisable Omni-Scale Representations for Person Re-Identification

15 Oct 2019KaiyangZhou/deep-person-reid

An effective person re-identification (re-ID) model should learn feature representations that are both discriminative, for distinguishing similar-looking people, and generalisable, for deployment across datasets without any adaptation.

UNSUPERVISED DOMAIN ADAPTATION UNSUPERVISED PERSON RE-IDENTIFICATION