attention self-attention multi-head multi
Kubernetes Multi-Master Node Cluster
https://medium.com/@lubomir-tobek/kubernetes-multi-master-node-cluster-f2081e504983 Lubomir Tobek · Follow 10 min read · Dec 14, 2023 2 Creating and o ......
1.9 Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation 基于语义分割遥感图像的模型
Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation 参考遥感图像分割的旋转多尺度交互网络 参考遥感图像分割 (RRSIS)是一个新的挑战，它结合了计算机视觉和自然语言处理，通过 ......
【五期李伟平】CCF-A（MobiCom'18 Session EdgeTech'18）A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge Clouds
Zafari, Faheem , et al. "A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge Clouds." (2018). 为了缓解移动边缘计算中资源稀缺问 ......
Multi-Master APB Interconnect
APB总线并不是只有一个master(AHB2APB Bridge),可以通过设计支持多个APB Master,只是比较复杂 Lattice 实现了一款Multi-Master Interconnect ......
《An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning》阅读笔记
代码 原文地址 预备知识： 1.什么是MIL？ 多示例学习（MIL）是一种机器学习的方法，它的特点是每个训练数据不是一个单独的实例，而是一个包含多个实例的集合（称为包）。每个包有一个标签，但是包中的实例没有标签。MIL的目的是根据包的标签来学习实例的特征和分类规则，或者根据实例的特征来预测包的标签。 ......
tf.keras.layers.Attention: Dot-product attention layer, a.k.a. Luong-style attention.
tf.keras.layers.Attention( View source on GitHub ) Dot-product attention layer, a.k.a. Luong-style attention. Inherits From: Layer, Module tf.keras.la ......
MVCC（Multi-Version Concurrency Control）
InnoDB存储引擎对MVCC的实现 MVCC 是一种并发控制机制，用于在多个并发事务同时读写数据库时保持数据的一致性和隔离性。它是通过在每个数据行上维护多个版本的数据来实现的。当一个事务要对数据库中的数据进行修改时，MVCC 会为该事务创建一个数据快照，而不是直接修改实际的数据行。 读（SELEC ......
MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video
目录概符号说明MMGCN代码 Wei Y., Wang X., Nie L., He X., Hong R. and Chua T. MMGCN: Multi-modal graph convolution network for personalized recommendation of mic ......
Self-attention小小实践
目录公式 1 不带权重的自注意力机制公式 2 带权重的自注意力机制 公式 1 不带权重的自注意力机制 \[Attention(X) = softmax(\frac{X\cdot{X^T}}{\sqrt{dim_X}})\cdot X \]示例程序： import numpy as np emb_di ......
Stable Diffusion安装使用Multi Frame Render
一、下载脚本 无跳帧动画脚本下载地址放置目录：./scripts 二、使用 img2img--Script--(Beta) Multi-frame Video rendering-V0.72 其他 PIL.UnidentifiedImageError : cannot identify image ......
ElasticSearch中查询语句用法（match、match_phrase、multi_match、query_string）
1、match略 1.1 不同字段权重 如果需要为不同字段设置不同权重，可以考虑使用 bool 查询的 should 子句来组合多个 match 查询，并为每个 match 查询设置不同的权重。 { "query": { "bool": { "should": [ { "match": { "pro ......
Is Attention Better Than Matrix Decomposition?
Is Attention Better Than Matrix Decomposition? * Authors: [[Zhengyang Geng]], [[Meng-Hao Guo]], [[Hongxu Chen]], [[Xia Li]], [[Ke Wei]], [[Zhouchen Li ......
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation * Authors: [[Meng-Hao Guo]], [[Cheng-Ze Lu]], [[Qibin Hou]], [[Zhengning ......
CCNet: Criss-Cross Attention for Semantic Segmentation
CCNet: Criss-Cross Attention for Semantic Segmentation * Authors: [[Zilong Huang]], [[Xinggang Wang]], [[Yunchao Wei]], [[Lichao Huang]], [[Humphrey S ......
Dual Attention Network for Scene Segmentation：双线并行的注意力
Dual Attention Network for Scene Segmentation * Authors: [[Jun Fu]], [[Jing Liu]], [[Haijie Tian]], [[Yong Li]], [[Yongjun Bao]], [[Zhiwei Fang]], [[H ......
Attention Is All You Need
Attention Is All You Need * Authors: [[Ashish Vaswani]], [[Noam Shazeer]], [[Niki Parmar]], [[Jakob Uszkoreit]], [[Llion Jones]], [[Aidan N. Gomez]], ......
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation * Authors: [[Guosheng Lin]], [[Anton Milan]], [[Chunhua Shen]], [[ ......
Expectation-Maximization Attention Networks for Semantic Segmentation 使用了EM算法的注意力
Expectation-Maximization Attention Networks for Semantic Segmentation * Authors: [[Xia Li]], [[Zhisheng Zhong]], [[Jianlong Wu]], [[Yibo Yang]], [[Zho ......
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module * Authors: [[Sanghyun Woo]], [[Jongchan Park]], [[Joon-Young Lee]], [[In So Kweon]] doi:https://doi.org/10. ......
PSANet: Point-wise Spatial Attention Network for Scene Parsing双向注意力
PSANet: Point-wise Spatial Attention Network for Scene Parsing * Authors: [[Hengshuang Zhao]], [[Yi Zhang]], [[Shu Liu]], [[Jianping Shi]], [[Chen Cha ......
（15-418） Project 1: Exploring Multi-Core and SIMD Parallelism
Program 1: Parallel Fractal Generation Using Threads 加速比与线程数并不成正比： thread nums serial thread speedup 1 395.95 395.234 1.00x 2 394.42 201.087 1.96x 4 3 ......
Object Tracking Network Based on Deformable Attention Mechanism
Object Tracking Network Based on Deformable Attention Mechanism Local library 初读印象 comment:: （DeTrack）采用基于可变形注意力机制的编码器模块和基于自注意力机制的编码器模块相结合的方式进行特征交互。基于 ......
BiFormer: Vision Transformer with Bi-Level Routing Attention 使用超标记的轻量ViT
alias: Zhu2023a tags: 超标记 注意力 rating: ⭐ share: false ptype: article BiFormer: Vision Transformer with Bi-Level Routing Attention * Authors: [[Lei Zhu] ......
A Deformable Attention Network for High-Resolution Remote Sensing Images Semantic Segmentation可变形注意力
A Deformable Attention Network for High-Resolution Remote Sensing Images Semantic Segmentation * Authors: [[Renxiang Zuo]], [[Guangyun Zhang]], [[Rong ......
《X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages》论文学习
《X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages》论文学习 ......
GCGP：Global Context and Geometric Priors for Effective Non-Local Self-Attention加入了上下文信息和几何先验的注意力
Global Context and Geometric Priors for Effective Non-Local Self-Attention * Authors: [[Woo S]] 初读印象 comment:: （GCGP）提出了一个新的关系推理模块，它包含了一个上下文化的对角矩阵和二维相 ......
Fully Attentional Network for Semantic Segmentation：FLANet
Fully Attentional Network for Semantic Segmentation * Authors: [[Qi Song]], [[Jie Li]], [[Chenghong Li]], [[Hao Guo]], [[Rui Huang]] 初读印象 comment:: (F ......
《Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification》阅读笔记
论文标题 《Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification》 细粒度视觉分类中类别一致多粒度特征的渐进学习 作者 Ruoyi D ......
Flash-attention 2.3.2 支持 Windows了，但是我的2080ti是不支持的。
不久前Flash-attention 2.3.2 终于支持了 Windows，推荐直接使用大神编译好的whl安装 github.com/bdashore3/flash-attention/releasesstable diffusion webui flash-attention2性能测试 安装环境 ......