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
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