Adaptive Attention-Aware Network for unsupervised person re-identification
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.05.094
Abstract: Abstract Person re-identification (Re-ID) has attracted more attention in computer vision tasks recently and achieved high accuracy in some public available datasets in a supervised manner. The performance drops significantly when datasets are unlabeled, which… read more here.
Keywords: person identification; person; attention; attention aware ... See more keywords
Video Captioning With Adaptive Attention and Mixed Loss Optimization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2942000
Abstract: The attention mechanism and sequence-to-sequence framework have shown promising advancements in the temporal task of video captioning. However, imposing the attention mechanism on non-visual words, such as “of” and “the”, may mislead the decoder and… read more here.
Keywords: attention; loss; adaptive attention; video captioning ... See more keywords
Adaptive Attention-Driven Few-Shot Learning for Robust Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3421242
Abstract: The deep learning techniques have propelled significant advancements in intelligent fault diagnosis. However, the limited labeled data due to resource-intensive labeling processes pose the challenges for actual applications. This study proposes an attention-centric model for… read more here.
Keywords: shot learning; fault diagnosis; fault; adaptive attention ... See more keywords
Task-Adaptive Attention for Image Captioning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3067449
Abstract: Attention mechanisms are now widely used in image captioning models. However, most attention models only focus on visual features. When generating syntax related words, little visual information is needed. In this case, these attention models… read more here.
Keywords: attention; image captioning; task adaptive; adaptive attention ... See more keywords
AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3226268
Abstract: Various deep learning methods have been proposed to segment breast lesions from ultrasound images. However, similar intensity distributions, variable tumor morphologies and blurred boundaries present challenges for breast lesions segmentation, especially for malignant tumors with… read more here.
Keywords: breast; adaptive attention; lesions segmentation; ultrasound images ... See more keywords
AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2021.3114747
Abstract: Accurate and rapid diagnosis of COVID-19 using chest X-ray (CXR) plays an important role in large-scale screening and epidemic prevention. Unfortunately, identifying COVID-19 from the CXR images is challenging as its radiographic features have a… read more here.
Keywords: attention network; adaptive attention; attention; chest ray ... See more keywords
Intra- and Interpatient ECG Heartbeat Classification Based on Multimodal Convolutional Neural Networks with an Adaptive Attention Mechanism
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14209307
Abstract: Echocardiography (ECG) is a noninvasive technology that is widely used for recording heartbeats and diagnosing cardiac arrhythmias. However, interpreting ECG signals is challenging and may require substantial time from medical specialists. The evolution of technology… read more here.
Keywords: classification; convolutional neural; multimodal convolutional; attention mechanism ... See more keywords
Section Recommendation of Online Medical Platform Based on Keyword Expansion with Self-Adaptive-Attention-Prompt-BERT-RCNN Modeling
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15126746
Abstract: Background: Implementing automatic classification of short texts in online healthcare platforms is crucial to increase the efficiency of their services and improve the user experience. A short text classification method combining the keyword expansion technique… read more here.
Keywords: classification; model; expansion; short text ... See more keywords