Learning Local Attention With Guidance Map for Pose Robust Facial Expression Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3198658
Abstract: Facial expression recognition (FER) is an extremely challenging task under unconstrained conditions. Especially, variant head poses degrade the performance dramatically due to the large variations in appearance of facial expressions. To address this problem, we… read more here.
Keywords: facial expression; guidance map; expression recognition; attention ... See more keywords
Dual-Resolution Local Attention Unfolding Network for Optical Remote Sensing Image Super-Resolution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3224041
Abstract: Single-image super-resolution (SR) technology based on deep learning is widely applied in remote sensing. In recent years, the deep unfolding SR strategy has been proposed, which combines the neural networks with the traditional optimization-based algorithms,… read more here.
Keywords: network; remote sensing; resolution; local attention ... See more keywords
DBGA-Net: Dual-Branch Global–Local Attention Network for Remote Sensing Scene Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3264817
Abstract: Remote sensing scene classification (RSSC) is a fundamental but challenging task in the discipline of remote sensing (RS). Significant recent advancements have been achieved in RSSC utilizing convolution neural networks. The increasing amount of RS… read more here.
Keywords: global local; local attention; scene classification; remote sensing ... See more keywords
An Ensemble of Global and Local-Attention Based Convolutional Neural Networks for COVID-19 Diagnosis on Chest X-ray Images
Sign Up to like & getrecommendations! Published in 2021 at "Symmetry"
DOI: 10.3390/sym13010113
Abstract: The recent Coronavirus Disease 2019 (COVID-19) pandemic has put a tremendous burden on global health systems Medical practitioners are under great pressure for reliable screening of suspected cases employing adjunct diagnostic tools to standard point-of-care… read more here.
Keywords: methodology; convolutional neural; covid; local attention ... See more keywords
RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection
Sign Up to like & getrecommendations! Published in 2022 at "Medical image analysis"
DOI: 10.48550/arxiv.2211.04793
Abstract: We propose a novel deep neural network architecture to learn interpretable representation for medical image analysis. Our architecture generates a global attention for region of interest, and then learns bag of words style deep feature… read more here.
Keywords: detection; accurate gallbladder; attention; global local ... See more keywords