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   Articles with "domain adversarial" as a keyword



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Domain adaptation based on domain-invariant and class-distinguishable feature learning using multiple adversarial networks

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.06.044

Abstract: Abstract Adversarial networks have been used to learn transferable representations in many domain adaptation methods. However, there is no theoretical guarantee that two distributions are identical, even if the discriminator is fully confused. Therefore, a… read more here.

Keywords: adversarial networks; class; domain adversarial; central samples ... See more keywords

Domain adversarial transfer for cross-domain and task-constrained grasp pose detection

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recommendations! Published in 2021 at "Robotics and Autonomous Systems"

DOI: 10.1016/j.robot.2021.103872

Abstract: Abstract Transferring the grasping skills learned from simulated environments to the real world is favorable for many robotic applications, in which the collecting and labeling processes of real-world visual grasping datasets are often expensive or… read more here.

Keywords: real world; task; task constrained; constrained grasp ... See more keywords

Polarimetric image recovery method with domain-adversarial learning for underwater imaging

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-86529-3

Abstract: Underwater imaging is significant but the images are always subject to degradation, which varies in different underwater environments. Factors such as light scattering, absorption, and environmental noise can affect the quality of underwater images, leading… read more here.

Keywords: adversarial learning; domain adversarial; underwater imaging; image ... See more keywords

Domain-adversarial graph neural networks for Λ hyperon identification with CLAS12

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recommendations! Published in 2023 at "Journal of Instrumentation"

DOI: 10.1088/1748-0221/18/06/p06002

Abstract: Machine learning methods and in particular Graph Neural Networks (GNNs) have revolutionized many tasks within the high energy physics community. Particularly in the realm of jet tagging, GNNs and domain adaptation have been especially successful.… read more here.

Keywords: neural networks; hyperon identification; domain adversarial; graph neural ... See more keywords

Channel-Robust Specific Emitter Identification Based on Domain-Adversarial Training of Neural Networks and Multi-Feature Fusion

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3604428

Abstract: To address the significant decline in the accuracy of Specific Emitter Identification(SEI) under wireless channel, we propose a novel method that combines a domain adversarial network with multi-feature fusion(MFF) to extract domain-invariant features of the… read more here.

Keywords: domain adversarial; specific emitter; emitter identification; identification ... See more keywords

Domain Adversarial Neural Network-Based Intrusion Detection System for In-Vehicle Network Variant Attacks

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recommendations! Published in 2022 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2022.3195486

Abstract: A controller area network (CAN) bus that controls real-time communication and data transmission of electronic control units in vehicles lacks security mechanisms and is highly vulnerable to attacks. The detection effectiveness of existing In-Vehicle network… read more here.

Keywords: intrusion detection; network; domain adversarial; detection ... See more keywords

Domain-Adversarial Neural Networks for Deforestation Detection in Tropical Forests

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3163575

Abstract: Many deep-learning (DL)-based, domain adaptation (DA) methods for remote sensing (RS) applications rely on adversarial training strategies to align features extracted from images of different domains in a shared latent space. However, the performance of… read more here.

Keywords: class; domain adversarial; detection; deforestation ... See more keywords
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A New Structured Domain Adversarial Neural Network for Transfer Fault Diagnosis of Rolling Bearings Under Different Working Conditions

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recommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2020.3038596

Abstract: This article presents a new deep transfer learning method, named structured domain adversarial neural network (SDANN), for bearing fault diagnosis with the data collected under different working conditions. The key idea of this method is… read more here.

Keywords: diagnosis; neural network; adversarial neural; transfer ... See more keywords

Domain Adversarial Active Learning for Domain Generalization Classification

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recommendations! Published in 2024 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2024.3486204

Abstract: Domain generalization (DG) tasks aim to learn cross-domain models from source domains and apply them to unknown target domains. Recent research has demonstrated that diverse and rich source domain samples can enhance domain generalization capability.… read more here.

Keywords: domain adversarial; adversarial active; active learning; generalization ... See more keywords

Knowledge-Assisted Resource Allocation With Domain Adversarial Neural Networks

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recommendations! Published in 2024 at "IEEE Transactions on Network and Service Management"

DOI: 10.1109/tnsm.2024.3440395

Abstract: Relying on a data-driven methodology, deep learning has emerged as a new approach for dynamic resource allocation in large-scale cellular networks. This paper proposes a knowledge-assisted domain adversarial network to reduce the number of poorly… read more here.

Keywords: domain adversarial; resource; network; knowledge assisted ... See more keywords

Remaining Useful Life Prediction via Information Enhanced Domain Adversarial Generalization

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recommendations! Published in 2025 at "IEEE Transactions on Reliability"

DOI: 10.1109/tr.2024.3441592

Abstract: Predicting remaining useful life (RUL) plays a crucial role in predictive maintenance, improving system reliability, availability, and safety. However, obtaining data from the target domain is often challenging in real-world industrial applications. This article focuses… read more here.

Keywords: domain adversarial; remaining useful; generalization; useful life ... See more keywords