(2) Multi-head attention pooling. We leverage a multi-head attention pooling module to address the limitations of symmetric function-based pooling, such as maximum and average pooling, in terms of losing detailed feature information. This is achieved by aggregating multi-spatial and attri...
Graph Multiset Pooling with Graph Multi-head Attention 給定從GNN 獲得的節點特徵矩陣 $\boldsymbol{H} \in \mathbb{R}^{n \times d}$ ,定義一個 Graph Multiset Pooling (GMPool ),將 $n$ 個節點壓縮為 $k$ 個典型節點,使用引數化的種子矩陣 $\boldsymbol{S} \in \mathbb{R}^{k \times d}$...
In contrast to these existing methods, our proposed approach introduces a novel technique: multi-head self-attention. This technique enables us to perform node selection and information aggregation distinctively and effectively. By leveraging the power of self-attention, we can dynamically identify and ...
For a two queue model where the head-of-line processor sharing discipline is applied, we derive the optimal control policy for dividing the servers attention, as well as for accepting customers. Also, a server farm with an infinite number of servers is studied, where servers can be turned ...
3D Semantic SegmentationnuScenesPTv2mIoU82.6%# 1 Compare LIDAR Semantic SegmentationnuScenesPTv2test mIoU0.826# 2 Compare val mIoU0.802# 3 Compare 3D Semantic SegmentationS3DISPointTransformerV2mIoU (Area-5)71.6# 2 Compare Semantic SegmentationS3DIS Area5PTv2mIoU72.6# 14 ...
12 Sep 2022·Tianyi Wang,Harry Cheng,Kam Pui Chow,Liqiang Nie· Recently, Deepfake has drawn considerable public attention due to security and privacy concerns in social media digital forensics. As the wildly spreading Deepfake videos on the Internet become more realistic, traditional detection techniq...
Erisen S (2024) Sernet-former: semantic segmentation by efficient residual network with attention-boosting gates and attention-fusion networks. arXiv preprint arXiv:2401.15741 Li, Y., Zhang, Y., Zhang, Y., Piao, X., Pei, H., & Hu, Y. (2024). Semantic segmentation in autonomous driving...
You should manually set mean pooling by passing :code:`--override-pooler-config '{"pooling_type": "MEAN"}'`. Expand All @@ -389,8 +427,8 @@ Text Embedding On the other hand, its 1.5B variant (:code:`Alibaba-NLP/gte-Qwen2-1.5B-instruct`) uses causal attention despite being descri...
Image-Based Fitness Yoga Pose Recognition: Using Ensemble Learning and Multi-head Attention With the increasing awareness of fitness, more and more people are choosing to participate in fitness activities. Yoga, as a form of exercise that improves... Y Kou,H Li - 《International Journal of Comp...
It is well known that contextual and multi-scale representations are important for accurate visual recognition. In this paper we present the Inside-Outside Net (ION), an object detector that exploits information both inside and outside the region of interest. Contextual information outside the regi...