<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Data Closed-Loop System - Category - Naifan Li's Blog</title><link>https://blog.omagiclee.com/categories/data-closed-loop-system/</link><description>Data Closed-Loop System - Category - Naifan Li's Blog</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Sun, 16 Jun 2024 15:29:16 +0800</lastBuildDate><atom:link href="https://blog.omagiclee.com/categories/data-closed-loop-system/" rel="self" type="application/rss+xml"/><item><title>AI-Powered Data-Centric System: Evolving from Data Closed-loop to World Simulation</title><link>https://blog.omagiclee.com/posts/ai-data/ai-powered-data-centric-system/</link><pubDate>Sun, 16 Jun 2024 15:29:16 +0800</pubDate><author>Naifan Li</author><guid>https://blog.omagiclee.com/posts/ai-data/ai-powered-data-centric-system/</guid><description><![CDATA[<h2 id="pipeline">Pipeline</h2>
<ul>
<li>数据采集</li>
<li>数据清洗</li>
<li>数据存储</li>
<li>数据挖掘</li>
<li>数据标注</li>
<li>模型训练</li>
<li>仿真验证</li>
<li>集成部署</li>
</ul>
<h2 id="data-platform">Data Platform</h2>
<p>高效性，稳定性，易用性!</p>
<ul>
<li>AgentAI: 自然语言搜索</li>
<li>Milvus</li>
</ul>
<h2 id="data-mining">Data Mining</h2>
<ul>
<li>Foundation Models
<ul>
<li>Closed-Set Models
<ul>
<li>2D 大模型 + 两阶段方案 (结合大模型)</li>
<li>4D 大模型
<ul>
<li>BEV-OD</li>
<li>BEV-Map</li>
</ul>
</li>
</ul>
</li>
<li>Open-Vocabulary Models
<ul>
<li>开集检测</li>
<li>开集分割</li>
</ul>
</li>
<li>Contrastive Learning
<ul>
<li>CLIPs</li>
</ul>
</li>
<li>VQA</li>
</ul>
</li>
<li>数据质量评估体系
<ul>
<li>数据去重</li>
<li>数据蒸馏</li>
<li>Active Learning</li>
</ul>
</li>
<li>Applications
<ul>
<li>云端:
<ul>
<li>Tag Retrieval System
<ul>
<li>Close-Set Models</li>
<li>Open-Vocabulary Models</li>
<li>Contrastive Learning</li>
</ul>
</li>
<li>Multi-modal Retrieval System
<ul>
<li>Image-level</li>
<li>Patch-level</li>
<li>Instance-level
<ul>
<li>Close-Set Object BBox + CLIP</li>
<li>Open-Vocabulary Object BBox + CLIP</li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
<li>车端: Shadow Mode【暂无需求】</li>
</ul>
</li>
</ul>
<h3 id="开发方向">开发方向</h3>
<ol>
<li>目标级连续动态行为理解：比如 cutin -&gt; instance-level clip? 两阶段？</li>
<li>跨模块交互理解：比如障碍物压线</li>
<li>3D空间理解：比如近距离 cutin</li>
<li>地面静态元素的开集/闭集大模型</li>
<li>数据挖掘需求 -&gt; image editing 需求</li>
</ol>
<h2 id="auto-gt">Auto-GT</h2>
<ul>
<li>2D</li>
</ul>
<!-- - 4D -->
<p>谷歌的Waymo在2021年发表的：《Offboard 3D Object Detection from Point Cloud Sequences》
Uber的ATG（Advanced Technology Group）在2021年发表的：《Auto4D: Learning to Label 4D Objects from Sequential Point Clouds》
Open MMLab在2022年发表的：《MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection》
关注数据筛选和标注质量！
Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection (图森)</p>]]></description></item></channel></rss>