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8种视觉Transformer整理（上）
本文介绍4种视觉transformer，包含ViT、CoAtNet、CoT、CSWin。
8种视觉Transformer整理（下）
本文介绍4种视觉transformer，包含Focal Transformer、Swin Transformer、ResT、VOLO。
7种视觉MLP整理（下）
本文介绍三种视觉MLP，包含RepMLP、ResMLP和S²-MLPv2。
Center-based 3D Object Detection and Tracking（基于中心的3D目标检测和跟踪 / CenterPoint）论文笔记
基于中心的3D目标检测和跟踪 论文笔记
Win11安装wsl2及深度学习环境配置（Win10应该类似）
Win11安装wsl2及深度学习环境配置
【论文笔记】GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving
【论文笔记】GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving
【论文笔记】End-to-End Autonomous Driving without Costly Modularization and 3D Manual Annotation
【论文笔记】End-to-End Autonomous Driving without Costly Modularization and 3D Manual Annotation
【论文笔记】RaGS: Unleashing 3D Gaussian Splatting from 4D Radar and Monocular Cues for 3D Object Detectio
【论文笔记】RaGS: Unleashing 3D Gaussian Splatting from 4D Radar and Monocular Cues for 3D Object Detection
【论文笔记】Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
【论文笔记】Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
