Towards Open-Set Scene Graph Generation with Unknown Objects
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3145465
Abstract: Scene graph generation (SGG) aims to detect objects and their relationships in an image, thereby enabling a detailed understanding of a complex scene for various real-world applications. In SGG applications such as robot vision, it… read more here.
Keywords: scene graph; graph generation; unknown objects; open set ... See more keywords
Open-Set Learning-Based Hologram Verification System Using Generative Adversarial Networks
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DOI: 10.1109/access.2022.3155870
Abstract: In this study, we address the hologram authenticity challenge by introducing a novel deep-learning based end-to-end hologram verification system. The system ultimately makes the decision whether the hologram image captured from a mobile application is… read more here.
Keywords: verification system; system; hologram verification; learning based ... See more keywords
Triple-Sigmoid Activation Function for Deep Open-Set Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3192621
Abstract: Traditional models for various machine learning problems such as image classification perform well only under the assumption of a closed set. This implies that inputs must belong to the classes for which the models were… read more here.
Keywords: triple sigmoid; activation function; model; set recognition ... See more keywords
Sensor-Based Open-Set Human Activity Recognition Using Representation Learning With Mixup Triplets
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3221425
Abstract: The main objective of sensor-based human activity recognition (HAR) is to classify predefined human physical activities with multichannel signals acquired from wearable sensors. In a real-world scenario, signal data is changing over time and undefined… read more here.
Keywords: recognition; representation learning; sensor based; activity ... See more keywords
A Research of Gas Open-Set Identification Based on Data Augmentation Algorithm
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3247571
Abstract: Significant progress has been made in convolutional neural networks (CNN) based gas recognition. However, existing electronic nose (e-Nose) algorithms all use the closed-set assumption that the test and training samples are in the same label… read more here.
Keywords: gas; set recognition; set identification; open set ... See more keywords
Data-Enhancement-Aided Protocol-Agnostic Transmitter Recognition for Open-Set in IoT
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3176758
Abstract: Radio-frequency fingerprinting identification (RFFI), based on hardware inherent imperfections, is an effective technique for physical authentication in the Internet of Things (IoT). However, due to the nonstationary and open factors in realistic scenes, problems, such… read more here.
Keywords: recognition; system; rffi; protocol agnostic ... See more keywords
An Open-Set Modulation Recognition Scheme With Deep Representation Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2023.3241388
Abstract: This letter proposes a deep representation learning based automatic modulation recognition (AMR) algorithm in the open-set recognition (OSR) regime. The challenging recognition risk of unknown modulation classes is first analyzed for most state-of-the-art approaches, and… read more here.
Keywords: recognition; modulation; deep representation; scheme ... See more keywords
An Open Set Recognition Method for SAR Targets Based on Multitask Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3079418
Abstract: Most of the existing synthetic aperture radar (SAR) automatic target recognition (ATR) methods aim at the closed set situation, in which the classes of targets in the test set have appeared in the training set.… read more here.
Keywords: recognition; multitask learning; based multitask; method ... See more keywords
Transferable SAR Image Classification Crossing Different Satellites Under Open Set Condition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3159179
Abstract: For synthetic aperture radar (SAR) image classification problem, we need to take into account unlabeled datasets containing unknown classes crossing different satellites. In this letter, a spherical space domain adaptation (DA) network under open set… read more here.
Keywords: crossing different; sar image; image classification; classification ... See more keywords
An Entropy-Awareness Meta-Learning Method for SAR Open-Set ATR
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3269620
Abstract: Existing synthetic aperture radar automatic target recognition (SAR ATR) methods have been effective for the classification of seen target classes. However, it is more meaningful and challenging to distinguish the unseen target classes, i.e., open… read more here.
Keywords: meta learning; awareness meta; known classes; learning method ... See more keywords
Multi-Task Based Deep Learning Approach for Open-Set Wireless Signal Identification in ISM Band
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2021.3118456
Abstract: Wireless signal identification plays an important role in effectively implementing spectrum monitoring and management. However, in ISM (Industrial, Science and Medical) band, it becomes a challenging task due to the heterogeneity of variously emerging wireless… read more here.
Keywords: identification; task; multi; signal identification ... See more keywords