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Domain Generalization via Adversarially Learned Novel Domains

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1 Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3209815

Abstract: This study focuses on the domain generalization task, which aims to learn a model that generalizes to unseen domains by utilizing multiple training domains. More specifically, we follow the idea of adversarial data augmentation, which… read more here.

Keywords: training; domain generalization; novel domains; augmentation ... See more keywords

Federated Learning for IoT Devices With Domain Generalization

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2 Published in 2023 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2023.3234977

Abstract: Federated learning (FL) is a distributed machine learning (ML) technique that allows numerous Internet of Things (IoT) devices to jointly train an ML model using a centralized server for help. Local data never leaves each… read more here.

Keywords: federated learning; iot devices; domain generalization; local data ... See more keywords

A Diverse Large-Scale Building Dataset and a Novel Plug-and-Play Domain Generalization Method for Building Extraction

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1 Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2023.3268176

Abstract: In this article, we introduce a new building dataset and propose a novel domain generalization method to facilitate the development of building extraction from high-resolution remote sensing images. The problem with the current building datasets… read more here.

Keywords: building dataset; domain generalization; building; building extraction ... See more keywords

Language-Aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification

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1 Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3233885

Abstract: Text information including extensive prior knowledge about land cover classes has been ignored in hyperspectral image (HSI) classification tasks. It is necessary to explore the effectiveness of linguistic mode in assisting HSI classification. In addition,… read more here.

Keywords: classification; domain generalization; domain; cross ... See more keywords

RF Impairment Model-Based IoT Physical-Layer Identification for Enhanced Domain Generalization

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1 Published in 2022 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2022.3158553

Abstract: For small, inexpensive, and power-constrained IoT devices, Radiofrequency fingerprinting (RF-fingerprinting) has emerged as a cost-effective security solution. Robustness and permanence of the RF-fingerprints (RFFs) are major challenges since this solution’s inception. This is due to… read more here.

Keywords: impairment model; domain generalization; domain; model ... See more keywords

Domain Generalization for Face Anti-Spoofing via Negative Data Augmentation

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2 Published in 2023 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2023.3266138

Abstract: In practical applications, the generalization capability of face anti-spoofing (FAS) models on unseen domains is of paramount importance to adapt to diverse camera sensors, device drift, environmental variation, and unpredictable attack types. Recently, various domain… read more here.

Keywords: domain generalization; attack; world attack; real world ... See more keywords

Generative Inference Network for Imbalanced Domain Generalization

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2 Published in 2023 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2023.3251103

Abstract: Domain generalization (DG) aims to learn transferable knowledge from multiple source domains and generalize it to the unseen target domain. To achieve such expectation, the intuitive solution is to seek domain-invariant representations via generative adversarial… read more here.

Keywords: domain generalization; domain; inference network; model ... See more keywords

FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification

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1 Published in 2022 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2023.3266172

Abstract: Conventional Few-shot classification (FSC) aims to recognize samples from novel classes given limited labeled data. Recently, domain generalization FSC (DG-FSC) has been proposed with the goal to recognize novel class samples from unseen domains. DG-FSC… read more here.

Keywords: shot classification; fsc; ban; domain generalization ... See more keywords

EllSeg-Gen, towards Domain Generalization for Head-Mounted Eyetracking

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1 Published in 2022 at "Proceedings of the ACM on Human-Computer Interaction"

DOI: 10.1145/3530880

Abstract: The study of human gaze behavior in natural contexts requires algorithms for gaze estimation that are robust to a wide range of imaging conditions. However, algorithms often fail to identify features such as the iris… read more here.

Keywords: ellseg gen; head mounted; domain generalization; gen towards ... See more keywords