attention network - Robuta Search

https://openreview.net/forum?id=lcKTkZ1cykW&referrer=%5Bthe%20profile%20of%20Jinjing%20Shi%5D(%2Fprofile%3Fid%3D~Jinjing_Shi1) QSAN: A Near-term Achievable Quantum Self-Attention Network | OpenReview Self-Attention Mechanism (SAM) is good at capturing the internal connections of features and greatly improves the performance of machine learning models,... quantum self attention network qsan near term https://openreview.net/forum?id=J1kzuH90gg Deep Multimodal Emotion Recognition using Modality Aware Attention Network for Unifying... This paper introduces a multi-modal emotion recognition system aimed at enhancing emotion recognition by integrating representations from physiological... emotion recognition attention network deep multimodal using https://deepai.org/publication/spatiotemporal-transformer-attention-network-for-3d-voxel-level-joint-segmentation-and-motion-prediction-in-point-cloud Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion... Feb 28, 2022 - 02/28/22 - Environment perception including detection, classification, tracking, and motion prediction are key enablers for automated driving... attention network https://deepai.org/publication/durian-sc-duration-informed-attention-network-based-singing-voice-conversion-system DurIAN-SC: Duration Informed Attention Network based Singing Voice Conversion System | DeepAI Aug 7, 2020 - 08/07/20 - Singing voice conversion is converting the timbre in the source singing to the target speaker's voice while keeping singing conten... attention network https://openreview.net/forum?id=1P3OWwBvl9&referrer=%5Bthe%20profile%20of%20Bo%20Li%5D(%2Fprofile%3Fid%3D~Bo_Li50) KeNet: Knowledge-enhanced Doc-Label Attention Network for Multi-label text classification |... Multi-Label Text Classification (MLTC) is a fundamental task in the field of Natural Language Processing (NLP) that involves the assignment of multiple labels... attention network kenet knowledge enhanced doc https://deepai.org/publication/interpretable-visual-understanding-with-cognitive-attention-network Interpretable Visual Understanding with Cognitive Attention Network | DeepAI Aug 6, 2021 - 08/06/21 - While image understanding on recognition-level has achieved remarkable advancements, reliable visual scene understanding requires ... attention network visual understanding cognitive deepai https://deepai.org/publication/dual-attention-network-for-scene-segmentation Dual Attention Network for Scene Segmentation | DeepAI Sep 9, 2018 - 09/09/18 - In this paper, we address the scene segmentation task by capturing rich contextual dependencies based on the selfattention mechani... attention network dual scene segmentation deepai https://deepai.org/publication/interactive-spatiotemporal-token-attention-network-for-skeleton-based-general-interactive-action-recognition Interactive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action... Jul 14, 2023 - 07/14/23 - Recognizing interactive action plays an important role in human-robot interaction and collaboration. Previous methods use late fus... attention network interactive spatiotemporal token skeleton https://github.com/jianzhangcs/COLA-Net GitHub - jianzhangcs/COLA-Net: COLA-Net: Collaborative Attention Network for Image Restoration,... COLA-Net: Collaborative Attention Network for Image Restoration, TMM2021 (PyTorch Code) - jianzhangcs/COLA-Net attention network github cola collaborative image https://www.mdpi.com/1424-8220/21/6/2064 Edge-Enhanced with Feedback Attention Network for Image Super-Resolution Significant progress has been made in single image super-resolution (SISR) based on deep convolutional neural networks (CNNs). The attention mechanism can... with feedback attention network edge enhanced image https://oecd.ai/en/catalogue/metric-use-cases/efficient-image-super-resolution-via-symmetric-visual-attention-network-4 Efficient Image Super-Resolution via Symmetric Visual Attention Network - OECD.AI In this paper, we introduce an open-vocabulary panoptic segmentation model that effectively unifies the strengths of the Segment Anything Model (SAM) with the... image super resolution visual attention efficient via https://openreview.net/forum?id=zIpx-MISaIA Graph Attention Network for Prostate Cancer Lymph Node Invasion Prediction | OpenReview A graph attention network (GAT) model combining radiomics and clinical data to improve the performance and interpretability of lymph node invasion prediction... graph attention network prostate cancer lymph node https://oecd.ai/en/catalogue/metric-use-cases/efficient-image-super-resolution-via-symmetric-visual-attention-network-1 Efficient Image Super-Resolution via Symmetric Visual Attention Network - OECD.AI In this paper, we introduce an open-vocabulary panoptic segmentation model that effectively unifies the strengths of the Segment Anything Model (SAM) with the... image super resolution visual attention efficient via https://aclanthology.org/2020.coling-main.69/ Syntax-Aware Graph Attention Network for Aspect-Level Sentiment Classification - ACL Anthology Lianzhe Huang, Xin Sun, Sujian Li, Linhao Zhang, Houfeng Wang. Proceedings of the 28th International Conference on Computational Linguistics. 2020. graph attention network https://deepai.org/publication/context-attention-network-for-skeleton-extraction Context Attention Network for Skeleton Extraction | DeepAI May 24, 2022 - 05/24/22 - Skeleton extraction is a task focused on providing a simple representation of an object by extracting the skeleton from the given ... attention network context skeleton extraction deepai https://oecd.ai/en/catalogue/metric-use-cases/efficient-image-super-resolution-via-symmetric-visual-attention-network-3 Efficient Image Super-Resolution via Symmetric Visual Attention Network - OECD.AI In this paper, we introduce an open-vocabulary panoptic segmentation model that effectively unifies the strengths of the Segment Anything Model (SAM) with the... image super resolution visual attention efficient via https://deepai.org/publication/pose-aware-attention-network-for-flexible-motion-retargeting-by-body-part Pose-aware Attention Network for Flexible Motion Retargeting by Body Part | DeepAI Jun 13, 2023 - 06/13/23 - Motion retargeting is a fundamental problem in computer graphics and computer vision. Existing approaches usually have many strict... by body part attention network https://www.mdpi.com/1424-8220/22/23/9272 Multi-Layer Graph Attention Network for Sleep Stage Classification Based on EEG Graph neural networks have been successfully applied to sleep stage classification, but there are still challenges: (1) How to effectively utilize epoch... graph attention network multi layer for sleep https://aclanthology.org/C18-1203/ Stance Detection with Hierarchical Attention Network - ACL Anthology Qingying Sun, Zhongqing Wang, Qiaoming Zhu, Guodong Zhou. Proceedings of the 27th International Conference on Computational Linguistics. 2018. attention network stance detection hierarchical acl https://deepai.org/publication/manipulation-skill-assessment-from-videos-with-spatial-attention-network Manipulation-skill Assessment from Videos with Spatial Attention Network | DeepAI Jan 9, 2019 - 01/09/19 - Recent advances in computer vision have made it possible to automatically assess from videos the manipulation skills of humans in ... skill assessment attention network manipulation videos spatial https://openreview.net/forum?id=dZ33IBX-uRm Generalizable Multi-linear Attention Network | OpenReview a generalizable method to associate as many modalities as possible in linear complexity multi linear attention network openreview https://elifesciences.org/articles/63782 Attention network modulation via tRNS correlates with attention gain | eLife Parietal noninvasive brain stimulation during perceptual training causes a dramatic increase in learning that correlates with network-wide changes in... attention network modulation via trns gain https://www.mdpi.com/2073-8994/13/7/1296 Dual Attention Network for Pitch Estimation of Monophonic Music The task of pitch estimation is an essential step in many audio signal processing applications. In this paper, we propose a data-driven pitch estimation... attention network pitch estimation dual monophonic music https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.948954/full Frontiers | A pagerank self-attention network for traffic flow prediction Traffic information is collected from sensors in the urban road network, and traffic information can be said to be a mapping of people's activities, which ar... self attention traffic flow frontiers pagerank network https://oecd.ai/en/catalogue/metric-use-cases/efficient-image-super-resolution-via-symmetric-visual-attention-network-2 Efficient Image Super-Resolution via Symmetric Visual Attention Network - OECD.AI In this paper, we introduce an open-vocabulary panoptic segmentation model that effectively unifies the strengths of the Segment Anything Model (SAM) with the... image super resolution visual attention efficient via https://www.ojp.gov/library/publications/hyperbolic-graph-attention-network Hyperbolic Graph Attention Network | Office of Justice Programs By exploiting the graph attention network, the authors of this study learn robust node representations of graphs in hyperbolic spaces, utilizing the gyrovector... graph attention network hyperbolic office justice programs https://arxiv.org/abs/1711.07246 [1711.07246] Face Attention Network: An Effective Face Detector for the Occluded Faces Abstract page for arXiv paper 1711.07246: Face Attention Network: An Effective Face Detector for the Occluded Faces attention network https://pmc.ncbi.nlm.nih.gov/articles/PMC9858399/ The continuum of attention dysfunction: Evidence from dynamic functional network connectivity... The question of whether attention-related disorders such as attention-deficit/hyperactivity disorder (ADHD) are best understood as clinical categories or as... the continuum attention dysfunction https://openreview.net/forum?id=LiXf4ONdIK&referrer=%5Bthe%20profile%20of%20Junho%20Koh%5D(%2Fprofile%3Fid%3D~Junho_Koh1) D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud... LiDAR sensors are widely used for 3D object detection in various mobile robotics applications. LiDAR sensors continuously generate point cloud data in... https://elifesciences.org/articles/97150 A robust brain network for sustained attention from adolescence to adulthood that predicts later... Differences in behavior and brain connectivity in young adolescents predicted future substance use. https://www.mdpi.com/1424-8220/22/18/6993 FEA-Swin: Foreground Enhancement Attention Swin Transformer Network for Accurate UAV-Based Dense... UAV-based object detection has recently attracted a lot of attention due to its diverse applications. Most of the existing convolution neural network based... transformer network https://www.mdpi.com/1424-8220/21/24/8468 Cross-Attention Fusion Based Spatial-Temporal Multi-Graph Convolutional Network for Traffic Flow... Accurate traffic flow prediction is essential to building a smart transportation city. Existing research mainly uses a given single-graph structure as a model,... graph convolutional network https://aclanthology.org/D19-1610/ A Gated Self-attention Memory Network for Answer Selection - ACL Anthology Tuan Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th... self attention for answer gated memory