526互联

anything segment model waldo

BigdataAIML-ML-Models for machine learning Explore the ideas behind machine learning models and some key algorithms used for each

最好的机器学习教程系列：https://developer.ibm.com/articles/cc-models-machine-learning/ By M. Tim Jones, Published December 4, 2017 Models for machine learning Alg ......
learning machine BigdataAIML-ML-Models BigdataAIML algorithms

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 ......
Convolutional Segmentation Rethinking Attention Semantic

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 ......
Segmentation Criss-Cross Attention Semantic CCNet

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 ......
Segmentation 注意力 Attention Network Scene

Fully convolutional networks for semantic segmentation

Fully convolutional networks for semantic segmentation * Authors: [[Jonathan Long]], [[Evan Shelhamer]], [[Trevor Darrell]] DOI: 10.1109/CVPR.2015.729 ......
convolutional segmentation networks semantic Fully

U-Net: Convolutional Networks for Biomedical Image Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation * Authors: [[Olaf Ronneberger]], [[Philipp Fischer]], [[Thomas Brox]] Local library 初读 ......
Convolutional Segmentation Biomedical Networks U-Net

SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation

SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation * Authors: [[Qiang Wan]], [[Zilong Huang]], [[Jiachen Lu]], [[Gang Yu]] ......
Squeeze-enhanced Segmentation Transformer SeaFormer Semantic

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]], [[ ......
High-Resolution Segmentation Multi-path Refinement Resolution

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 ......
Expectation-Maximization Maximization Segmentation 算法 Expectation

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery * Authors: [[Libo Wang]], [[Rui Li]], [[ ......
segmentation transformer UNetFormer UNet-like efficient

InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions 可变形卷积v3

InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions * Authors: [[Wenhai Wang]], [[Jifeng Dai]], [[Zhe Chen]], [[Z ......
卷积 Convolutions InternImage Large-Scale Deformable

SegViT: Semantic Segmentation with Plain Vision Transformers

SegViT: Semantic Segmentation with Plain Vision Transformers * Authors: [[Bowen Zhang]], [[Zhi Tian]], [[Quan Tang]], [[Xiangxiang Chu]], [[Xiaolin We ......
Segmentation Transformers Semantic SegViT Vision

Context Prior for Scene Segmentation带上下文先验的分割

Context Prior for Scene Segmentation * Authors: [[Changqian Yu]], [[Jingbo Wang]], [[Changxin Gao]], [[Gang Yu]], [[Chunhua Shen]], [[Nong Sang]] DOI: ......
先验 下文 Segmentation Context Prior

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

UNet++: A Nested U-Net Architecture for Medical Image Segmentation * Authors: [[Zongwei Zhou]], [[Md Mahfuzur Rahman Siddiquee]], [[Nima Tajbakhsh]], ......
Architecture Segmentation Medical Nested Image

Asymmetric Non-Local Neural Networks for Semantic Segmentation 非对称注意力

Asymmetric Non-Local Neural Networks for Semantic Segmentation * Authors: [[Zhen Zhu]], [[Mengdu Xu]], [[Song Bai]], [[Tengteng Huang]], [[Xiang Bai]] ......
Segmentation 注意力 Asymmetric Non-Local Networks

PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers

PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers * Authors: [[Jiacong Xu]], [[Zixiang Xiong]], [[Shankar P. Bhattacharyya ......
Segmentation Controllers Real-time Inspired Semantic

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 ......
High-Resolution Segmentation 注意力 Deformable Resolution

《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 ......
Multi-Modalities Bootstrapping Modalities Languages Advanced

go model的使用 windows下

安装golang后，配置GOROOT环境变量，然后在PATH环境变量下加入%GOROOT%\bin 创建一个目录，使用如下命令 go mod init 项目名 // 完成初始化 go mod vendor // 自动创建vendor目录 go mod tidy // 整理依赖 go get xxx ......
windows model go

Which should we use in desogn Java entity? Logic model? Or physics model?

Generally, we'll edsign database first so that we can design our system more smoothly. But for the beginner of Java, Database and ORM(Object Relation ......
model physics should desogn entity

Open-World Object Manipulation using Pre-trained Vision-Language Models

概述 提出MOO: Manipulation of Open-World Objects 用预训练的VLM在图像中标记instruction的object的坐标，传入policy进行控制，可以zero-shot泛化到novel object，还支持手指、点击输入指令。 问题 机器人泛化到训练中没有见 ......
Vision-Language Manipulation Pre-trained Open-World Language

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 ......
Segmentation Attentional Semantic Network FLANet

Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation；OCRNet

Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation * Authors: [[Yuhui Yuan]], [[Xiaokang Chen]], [[Xilin Chen]], [[ ......
Segmentation Object-Contextual Representations Transformer Contextual

com.jfinal.plugin.activerecord.ActiveRecordException: You can't update model without Primary Key, id can not be null.

jfinal更新信息的时候，返回错误： com.jfinal.plugin.activerecord.ActiveRecordException: You can't update model without Primary Key, id can not be null. 解决： 查看自已设置的I ......
ActiveRecordException activerecord can Primary without

nodejs使用sequelize vscode报错：Type 'Model<any, any, any>' is not a constructor function type.的解决办法

我的模型定义如下： import { Model, DataTypes } from "sequelize"; // 定义资源模型 class Rule extends Model { } 问题： vscdoe报错： Type 'Model<any, any, any>' is not a cons ......
any constructor sequelize function 办法

《ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst》论文学习

一、Abstract 构建能够感知现实世界多种模态信信号，并解决各种任务的通用模型，是人工智能领域一个吸引人的目标。 在本文中，我们介绍了ChatBridge，这是一个新颖的多模态语言模型，它利用语言的表达能力作为催化剂，来弥合不同模态之间的差距。我们证明，只需要使用双模态的语言配对数据（image ......
Language ChatBridge Modalities Bridging Catalyst

《MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models》论文学习

一、ABSTRACT 最新的GPT-4展示了非凡的多模态能力，例如直接从手写文本生成网站和识别图像中的幽默元素。这些特性在以往的视觉-语言模型中很少见。然而，GPT-4背后的技术细节仍然未公开。我们认为，GPT-4增强的多模态生成能力源自于复杂的大型语言模型（LLM）的使用。 为了检验这一现象，我们 ......
Vision-language Understanding Enhancing Advanced Language

【Linux】调试常见的应用程序奔溃“Segmentation fault (core dumped)”

https://blog.csdn.net/hello_nofail/article/details/129994481?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522170264661316800227454508%2522%252 ......
Segmentation 应用程序 常见 程序 dumped

python_0004_type_model builtins.type 解析

内置函数​type()​有两种语法，分别是： type(object) #或者 type(name, bases, dict, **kwds) 用法一、用于验证 对象的类型，等价于调用 __class__ 属性 class Animal(): name="" def __init__(self,na ......
type type_model builtins python model

Django添加models.py的ForeignKey数据迁移后找不到，各种报错

Django添加models.py的ForeignKey数据迁移后找不到，各种报错 在创建DJango项目时候，已经实现文件列表功能，在添加用户绑定文件列表功能时候，添加user作为外键关联，添加后执行数据库迁移，一直报错找不到userid 报错信息 django.db.utils.Operatio ......
ForeignKey 数据 Django models py
共590篇  :2/20页 首页上一页2下一页尾页