Browse > Methodology > Domain Adaptation > Unsupervised Domain Adaptation

Unsupervised Domain Adaptation

105 papers with code ยท Methodology
Subtask of Domain Adaptation

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Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation

18 May 2020

In this paper, we present a novel unsupervised domain adaptation (UDA) method, named Domain Adaptive Relational Reasoning (DARR), to generalize 3D multi-organ segmentation models to medical data collected from different scanners and/or protocols (domains).

RELATIONAL REASONING SUPER-RESOLUTION UNSUPERVISED DOMAIN ADAPTATION

Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation

16 May 2020

In both datasets, results indicate that our method can achieve the highest level of accuracy while requiring a comparable or lower time complexity.

PERSON RE-IDENTIFICATION UNSUPERVISED DOMAIN ADAPTATION

SRDA-Net: Super-Resolution Domain Adaptation Networks for Semantic Segmentation

13 May 2020

By the adversarial learning, SRS tries to align the source with target domains on pixel-level visual appearance and output-space.

SEMANTIC SEGMENTATION SUPER-RESOLUTION UNSUPERVISED DOMAIN ADAPTATION

An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation

11 May 2020

To evaluate the applicability of the ITL approach, we adopted the brain tissue annotation label on the source domain dataset of Magnetic Resonance Imaging (MRI) images to the task of brain tumor segmentation on the target domain dataset of MRI.

BRAIN TUMOR SEGMENTATION TRANSFER LEARNING UNSUPERVISED DOMAIN ADAPTATION

Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search

11 May 2020

We prove the existence of such a clone given that infinite number of data points can be sampled from the source distribution.

UNSUPERVISED DOMAIN ADAPTATION

Domain Adaptation in Highly Imbalanced and Overlapping Datasets

7 May 2020

In many Machine Learning domains, datasets are characterized by highly imbalanced and overlapping classes.

UNSUPERVISED DOMAIN ADAPTATION

Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting

5 May 2020

More specifically, we first propose a nuclei inpainting mechanism to remove the auxiliary generated objects in the synthesized images.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION UNSUPERVISED DOMAIN ADAPTATION

Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching

30 Apr 2020

The performance of machine learning algorithms is known to be negatively affected by possible mismatches between training (source) and test (target) data distributions.

ACOUSTIC SCENE CLASSIFICATION SCENE CLASSIFICATION UNSUPERVISED DOMAIN ADAPTATION

Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training

27 Apr 2020

We introduce a novel UDA framework where a standard supervised loss on labeled synthetic data is supported by an adversarial module and a self-training strategy aiming at aligning the two domain distributions.

SEMANTIC SEGMENTATION UNSUPERVISED DOMAIN ADAPTATION

What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation

24 Apr 2020

Unsupervised domain adaptation has attracted growing research attention on semantic segmentation.

SEMANTIC SEGMENTATION UNSUPERVISED DOMAIN ADAPTATION