526互联

detection benchmark optical sensing

Center-based 3D Object Detection and Tracking

zotero-key: A37ALEJ3 zt-attachments: - "280" title: Center-based 3D Object Detection and Tracking citekey: yinCenterbased3DObject2021 Center-based 3D ......
Center-based Detection Tracking Center Object

git bash报错fatal: detected dubious ownership in repository at的解决方法

由于新版本的git安全机制，需要核对文件安全性，如果文件夹所以者和当前用户不一致就警告。 方法1，可以把文件的所有者更改为当前用户的 方法2，命令 git config --global --add safe.directory "你的目录或者文件" 意思就是把该目录或者文件白名单安全的 ......
repository ownership detected dubious 方法

Early lameness detection in dairy cattle based on wearable gait analysis using semi-supervised LSTM-Autoencoder

一区top Computers and Electronics in Agriculture 题目：“基于半监督 LSTM-自动编码器可穿戴步态分析的奶牛早期跛行检测” (Zhang 等, 2023, p. 1) (pdf) “Early lameness detection in dairy ca ......
LSTM-Autoencoder semi-supervised Autoencoder supervised detection

Learning Dynamic Query Combinations for Transformer-based Object** Detection and Segmentation论文阅读笔记

Motivation & Intro 基于DETR的目标检测范式（语义分割的Maskformer也与之相似）通常会用到一系列固定的query，这些query是图像中目标对象位置和语义的全局先验。如果能够根据图像的语义信息调整query，就可以捕捉特定场景中物体位置和类别的分布。例如，当高级语义显示图 ......
Transformer-based Combinations Segmentation Transformer Detection

gsm8k benchmark

using gsm8k-rft-llama7b-u13b_evaluation env: lm_evaluation using GSM8K-eval ......
benchmark gsm8k gsm8 gsm 8k

【每周一读】How to Detect Hallucinations in LLMs

准备开一个【每周一读】栏目，分享任何有意思的文章，不定时更新。 原文🔗：https://towardsdatascience.com/real-time-llm-hallucination-detection-9a68bb292698 原文作者：Iulia Brezeanu 1 什么是LLM Ha ......
每周一 Hallucinations Detect LLMs How

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 ......
遥感 语义 Segmentation Multi-Scale Interaction

humaneval benchmark

use code-eval command git clone https://github.com/abacaj/code-eval.git cd code-eval conda create -n human_eval python=3.10 conda activate human_eval ......
humaneval benchmark

optical strain（python）

利用python opencv计算optical strain import cv2 import numpy as np class OptFlowStrain: def __init__(self): self.TVL1 = cv2.optflow.DualTVL1OpticalFlow_cre ......
optical strain python

TDSQL(PostgreSQL版本) benchmark性能测试

一、准备软件包jdk： 地址：https://pan.baidu.com/s/1sbgLPROfd9e_valSfv0YAQ 提取码：4qpsbenchmark：地址：https://pan.baidu.com/s/1nAHER-BXpgG0LUnR8NbT7Q 提取码：xcbu 二、安装1、jdk ......
PostgreSQL benchmark 性能 版本 TDSQL

使用OHOS SDK构建benchmark

参照OHOS IDE和SDK的安装方法配置好开发环境。 从github下载源码。 执行如下命令： git clone --depth=1 https://github.com/google/benchmark.git 进入源码所在的目录，创建批处理文件ohos_build.cmd，内容如下： @ec ......
benchmark OHOS SDK

dataset format of benchmarks

note: the datasets are classified into two types, generative(the answer is natural language, the length and content are not in a fixed format) and sel ......
benchmarks dataset format of

TensorFlow Object Detection API —— 开箱即用的目标检测API

TensorFlow Object Detection API 提供了在 COCO 2017 数据集上预训练的检测模型集合。如果你要识别的对象存在于 COCO2017 数据集，那么你就可以直接使用 TensorFlow Object Detection API 来检测图片或视频。 TensorFlo ......
TensorFlow Detection API 目标 Object

llama benchmarks

Introduction Here we re-evaluate llama2 benchmarks to prove its performence. datasets In this blog, we'll test the following datasets shown in the ima ......
benchmarks llama

LandBench 1.0: a benchmark dataset and evaluation metrics for data-driven land surface variables prediction

李老师对于landbench的，基准模型进行的论文。 里面对于变量，数据集的描述，写论文可以用。 题目： “LandBench 1.0: a benchmark dataset and evaluation metrics for data-driven land surface variables ......
data-driven evaluation prediction LandBench benchmark

Sw-YoloX An anchor-free detector based transformer for sea surface object detection

Sw-YoloX An anchor-free detector based transformer for sea surface object detection 基于Transformer用于海上目标检测的无锚检测器：Sw-YoloX 1)由于不同海洋状态下的活体和漂浮物体数据稀缺且昂贵，我们 ......
anchor-free transformer detection Sw-YoloX detector

Relation Networks for Object Detection

Relation Networks for Object Detection * Authors: [[Han Hu]], [[Jiayuan Gu]], [[Zheng Zhang]], [[Jifeng Dai]], [[Yichen Wei]] DOI: 10.1109/CVPR.2018.0 ......
Detection Relation Networks Object for

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

UIU-Net: U-Net in U-Net for Infrared Small Object Detection：Unet中的Unet

UIU-Net: U-Net in U-Net for Infrared Small Object Detection * Authors: [[Xin Wu]], [[Danfeng Hong]], [[Jocelyn Chanussot]] DOI: 10.1109/TIP.2022.32284 ......
Net U-Net Unet Detection Infrared

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

Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images

Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images * Authors: [[Bowei Du]], [[Yecheng ......
Convolutional Enhancement Detection Adaptive Networks

A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance

A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance 基于图像和视频的小对象指南使用深度学习进行检测：的案例研究海上监视 1 ......
Surveillance Detection Learning Maritime Object

Object detection in optical remote sensing images: A survey and a new benchmark

Object detection in optical remote sensing images: A survey and a new benchmark 光学遥感图像中的目标检测：调查和新基准 最近人们投入了大量的精力来提出光学遥感图像中物体检测的各种方法。然而，目前对光学遥感图像中目标检测的 ......
detection benchmark optical sensing Object

[Bash] Benchmark with hyperfine

https://github.com/sharkdp/hyperfine hyperfine --runs 5 "CMD_1" "CMD_2" So it will run 5 times and compare CMD_1 vs CMD_2with a nice result summary ......
Benchmark hyperfine Bash with

Django 创建项目时找不到数据库sqlite3，提示no changes detected

原因:PyCharm创建Django项目,找不到数据库sqlite3 解决：如果没有默认的db文件，则应在PyCharm终端中执行以下命令： python manage.py makemigrations:提示python manage.py migrate ......
detected sqlite3 changes 数据库 项目

[论文阅读] A unified model for multi-class anomaly detection

A unified model for multi-class anomaly detection 1 Introduction 现有方法[6, 11, 25, 27, 48, 49, 52]建议为不同类别的对象训练单独的模型，就像图1c中的情况一样。然而，这种一类一模型的方案可能会消耗大量内存，尤 ......
multi-class detection unified anomaly 论文

Detecting Unknown Encrypted Malicious Traffic in Real Time via Flow Interaction Graph Analysis

1 前言 1.1 标题 Detecting Unknown Encrypted Malicious Traffic in Real Time via Flow Interaction Graph Analysis 1.2 摘要 为了保护网络的机密性和隐私性，目前互联网上的流量被广泛地加密。然而，流量 ......
Interaction Detecting Encrypted Malicious Analysis

BMR论文阅读笔记（Bootstrapping Multi-view Representations for Fake News Detection）

以往的多媒体假新闻检测研究包括一系列复杂的特征提取和融合网络，从新闻中收集有用的信息。然而，跨模态一致性如何影响新闻的保真度以及不同模态的特征如何影响决策仍然是一个悬而未决的问题。本文提出了一种基于自举多视图表示(BMR)的假新闻检测方案。对于一篇多模态新闻，我们分别从文本、图像模式和图像语义的角度... ......
Representations Bootstrapping Multi-view Detection 笔记

PostgreSQL - ERROR: deadlock detected

ERROR: deadlock detectedDETAIL: Process 209 waits for ShareLock on transaction 1034; blocked by process 201.Process 201 waits for ShareLock on transac ......
PostgreSQL deadlock detected ERROR

RLHF · PBRL | B-Pref：生成多样非理性 preference，建立 PBRL benchmark

贡献：提出一种生成非理性（模拟人类）preference 的方法，使用多样化的 preference，评测了 PBRL 各环节算法设计（select informative queries、feedback schedule）的效果。 ......
非理性 PBRL preference benchmark B-Pref
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