- Graph Attention Transformer Network for Robust Visual Tracking🔍
- Relation|Aware Graph Attention Network for Visual Question ...🔍
- Social|BiGAT🔍
- Graph Attention Networks and Track Management for Multiple ...🔍
- Graph Attention🔍
- Chunhua Shen🔍
- Structured Co|reference Graph Attention for Video|grounded Dialogue🔍
- 2020 IEEE/CVF Conference on Computer Vision and Pattern ...🔍
Graph Attention Network for Context|Aware Visual Tracking
Graph Attention Transformer Network for Robust Visual Tracking
... tracker: exploiting temporal context for robust visual tracking. In ... object-aware anchor-free tracking. In: Vedaldi, A., Bischof, H., Brox, T ...
Relation-Aware Graph Attention Network for Visual Question ... - dblp
Linjie Li , Zhe Gan, Yu Cheng, Jingjing Liu: Relation-Aware Graph Attention Network for Visual Question Answering. ICCV 2019: 10312-10321.
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN ...
The model makes use of a graph attention network (GAT) and self-attention on an image to ... Show, attend and tell: Neural image caption generation with visual ...
Graph Attention Networks and Track Management for Multiple ...
Global context-aware attention lstm networks for 3d action recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition ...
Graph Attention | Papers With Code
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction ... Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking.
Shen (2021), “Graph attention tracking”, In: Proc. IEEE. Conf. Computer Vision and Pattern Recognition (CVPR'21). 60. P. Chen, B. Zhuang, C ...
Au- dio Visual Scene-Aware Dialog (AVSD) Track for Natural. Language ... Relation-Aware. Graph Attention Network for Visual Question Answering. In ...
2020 IEEE/CVF Conference on Computer Vision and Pattern ...
Context-Aware Attention Network for Image-Text Retrieval pp. 3533-3542. M-LVC ... Hierarchical Graph Attention Network for Visual Relationship Detection pp.
Graph Attention Networks Paper Explained With Illustration and ...
... context-aware from its neighborhood. This is done by calculating a weighted sum of neighboring node features followed by a non-linear ...
Graph Neural Network and Some of GNN Applications - neptune.ai
The recent success of neural networks has boosted research on pattern recognition and data mining. Machine learning tasks, like object detection ...
A Class-Imbalance Aware and Explainable Spatio-Temporal Graph ...
In this study, a class-imbalance aware and explainable deep learning approach based on Convolutional Neural Networks (CNNs) and Graph Attention Networks (GATs) ...
PointGAT: Graph attention networks for 3D object detection - SciOpen
Krähenbühl, Center-based 3D object detection and tracking, inProc. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, ...
Representing Long-Range Context for Graph Neural Networks with ...
... graph embedding. Inspired by recent computer vision results that find position-invariant attention performant in learning long-range relationships, our ...
In this work, we propose a new instance of joint. MOT approach based on Graph Neural Networks (GNNs). The key idea is that GNNs can model relations between ...
SGAT: Shuffle and graph attention based Siamese networks ... - PLOS
Hierarchical Spatial-aware Siamese Network for Thermal Infrared Object Tracking. ... Transformer meets tracker: Exploiting temporal context for ...
SAMGAT: structure-aware multilevel graph attention networks for ...
The rapid dissemination of unverified information through social platforms like Twitter poses considerable dangers to societal stability.
Besides, in order to introduce the context informa- tion, we apply global ... Relation-aware graph attention network for visual question answering. In ...
Graph neural networks in vision-language image understanding
... graph attention network with global context. In: 2022 7th ... aware graph attention network for visual question answering. In ...
Spatial graph attention network-based object tracking with adaptive ...
Most popular Siamese trackers optimize the classification map from the tracking head using a fixed cosine window penalty.
A Multi‐Template Fusion Object Tracking Algorithm Based on Graph ...
The present paper proposes a new multi-template fusion module based on graph attention network (GM module), which consists of two parts.