提出memory-augmented attention模块,通过引入general video prior,辅助视频超分辨; 提出Parkour 数据集,该数据集中视频帧间存在大的位移,本文为视频超分辨应用于拥有大位移的视频提供了一个benchmark; 3、方法 网络架构 MANA由五部分组成,首先encoder(5个残差块)提取相邻帧以及当前帧的特征;然后经过Cross-Frame Non-Loc...
MAAD-GAN: Memory-Augmented Attention-Based Discriminator GAN forVideo Anomaly Detectiondoi:10.1007/978-3-031-58535-7_14The detection of anomalies in video data is of great importance in various applications, such as surveillance and industrial monitoring. This paper introduces a novel approach, named...
作者将memory-augmented operator嵌入到一个类似于Transformer的层中:memory-augmented attention的输出应用于由两个具有单一非线性的仿射变换组成的位置前馈层,它们独立地应用于集合中的每个元素: 其中,Xi表示输入集的第i个向量,F(X)i表示输出的第i个向量。σ(·)是ReLU激活函数,V和U是可学习的权值矩阵,b和c是偏...
论文阅读笔记《Meta-Learning with Memory-Augmented Neural Networks》,程序员大本营,技术文章内容聚合第一站。
内容提示: Neural Machine Translation with Key-Value Memory-Augmented AttentionFandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di WangTencent AI Lab{fandongmeng,zptu,yongcheng,gavinwu,jasonzhai,yuekuiyang,diwang}@tencent.comAbstractAlthough attention-based Neural ...
memory-augmented transformerattention mechanismshierarchical graph-based video summarizationA coherent description is an ultimate goal regarding video captioning via ... LV Cardoso,S Guimares,ZKGDP Junior - 《International Journal of Semantic Computing》 被引量: 0发表: 2023年 Memory-augmented neural netwo...
本篇文章的结构方面的改进即在于对self-attention和cross-attention的改进——memory augmented attention和Meshed Cross-Attention Abstract & Conclusion objection:Transformer基的模型在其他地方state-of-the-art,但是在image caption探索的还比较少。为了fill the gap ,我们提出了M^2(Meshed Transformer with Memory) ...
LLMs之LCM:《MemLong: Memory-Augmented Retrieval for Long Text Modeling》翻译与解读 导读:MemLong 是一种新颖高效的解决 LLM 长文本处理难题的方法,它通过外部检索器获取历史信息,并将其与模型的内部检索过程相结合,从而有效地扩展了上下文窗口,提升了模型的性能。MemLong 具有分布一致性、训练高效、扩展上下文窗口...
几篇论文实现代码:《Memory-Augmented Non-Local Attention for Video Super-Resolution》(CVPR 2022) GitHub: github.com/jiy173/MANA [fig7] 《Open-world Semantic Segmentation for LIDAR Point Clouds》(E...
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