ICAN: Interpretable cross-attention network for identifying drug and target protein interactions
Sign Up to like & getrecommendations! Published in 2022 at "PLOS ONE"
DOI: 10.1101/2022.08.04.502877
Abstract: Drug–target protein interaction (DTI) identification is fundamental for drug discovery and drug repositioning, because therapeutic drugs act on disease-causing proteins. However, the DTI identification process often requires expensive and time-consuming tasks, including biological experiments involving… read more here.
Keywords: cross attention; interpretable cross; attention; drug ... See more keywords
CAMM: Cross-Attention Multimodal Classification of Disaster-Related Tweets
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3202976
Abstract: During the past decade, social media platforms have been extensively used for information dissemination by the affected community and humanitarian agencies during a disaster. Although many studies have been done recently to classify the informative… read more here.
Keywords: camm; cross attention; disaster; deep learning ... See more keywords
Axial Cross Attention Meets CNN: Bibranch Fusion Network for Change Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3224081
Abstract: In the previous years, vision transformer has demonstrated a global information extraction capability in the field of computer vision that convolutional neural network (CNN) lacks. Due to the lack of inductive bias in vision transformer,… read more here.
Keywords: attention; change detection; network; cross attention ... See more keywords
A Cross-Attention BERT-Based Framework for Continuous Sign Language Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3199665
Abstract: Continuous sign language recognition (CSLR) is a challenging task involving various signal processing techniques to infer the sequences of glosses performed by signers. Existing approaches in CSLR typically use multiple input modalities such as the… read more here.
Keywords: recognition; cross attention; framework; sign language ... See more keywords
Asymmetric Cross-Attention Hierarchical Network Based on CNN and Transformer for Bitemporal Remote Sensing Images Change Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3245674
Abstract: As an important task in the field of remote sensing (RS) image processing, RS image change detection (CD) has made significant advances through the use of convolutional neural networks (CNNs). The transformer has recently been… read more here.
Keywords: cross attention; remote sensing; cnn transformer; transformer ... See more keywords
CAT-EDNet: Cross-Attention Transformer-Based Encoder–Decoder Network for Salient Defect Detection of Strip Steel Surface
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3165270
Abstract: The morphologies of various surface defects on strip steel suffer from oil stain, water drops, steel textures, and erratic illumination. It is still challenging to recognize defect boundary precisely from cluttered backgrounds. This article emphasizes… read more here.
Keywords: ednet; encoder decoder; cross attention; steel ... See more keywords
CCNet: Criss-Cross Attention for Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2020.3007032
Abstract: Contextual information is vital in visual understanding problems, such as semantic segmentation and object detection. We propose a criss-cross network (CCNet) for obtaining full-image contextual information in a very effective and efficient way. Concretely, for… read more here.
Keywords: cross attention; criss; segmentation; ccnet ... See more keywords
Cross-Attention and Deep Supervision UNet for Lesion Segmentation of Chronic Stroke
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.836412
Abstract: Stroke is an acute cerebrovascular disease with high incidence, high mortality, and high disability rate. Determining the location and volume of the disease in MR images promotes accurate stroke diagnosis and surgical planning. Therefore, the… read more here.
Keywords: cross attention; deep supervision; attention; stroke ... See more keywords
Gaze Estimation via Strip Pooling and Multi-Criss-Cross Attention Networks
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13105901
Abstract: Deep learning techniques for gaze estimation usually determine gaze direction directly from images of the face. These algorithms achieve good performance because face images contain more feature information than eye images. However, these image classes… read more here.
Keywords: cross attention; gaze estimation; strip pooling; estimation ... See more keywords