https://arxiv.org/pdf/2401.06197.pdf https://github.com/OpenGVLab/DCNv4 本文介绍了一种高效和有效的算子DCNv 4,它是专为广泛的视觉应用而设计的。与其前身DCNv 3相比,DCNv 4有两个关键增强功能:(1)去除空间聚合中的softmax归一化,以增强其动态性和表达能力;(2)优化存储器访问以最小化冗余操作以加速。
摘要:我们介绍了可变形卷积v4 (DCNv4),这是一种高效的算子,专为广泛的视觉应用而设计。DCNv4通过两个关键增强解决了其前身DCNv3的局限性:去除空间聚合中的softmax归一化,增强空间聚合的动态性和表现力;优化内存访问以最小化冗余操作以提高速度。与DCNv3相比,这些改进显著加快了收敛速度,并大幅提高了处理速度,其中D...
DCNv4可变形卷积 | CVPR 2024 | YOLO改进 | DCNv4即插即用模块,适用于图像分类,目标检测,图像分割,图像生成等所有CV任务通用模块 02:49 YOLOv11有效涨点改进 | TPAMI 2024顶刊| 5个高效涨点Metaformer改进即插即用模块,轻松暴涨11个点,小目标检测或分割,图像分类等任务 02:57 CVPR 2024 | 无痛暴涨10...
Jan 15, 2024: 🚀 "DCNv4" is released! Introduction We introduce Deformable Convolution v4 (DCNv4), a highly efficient and effective operator designed for a broad spectrum of vision applications. DCNv4 addresses the limitations of its predecessor, DCNv3, with two key enhancements: 1. removing...
DCNV4(CVPR2024)DCNV4 二、在YOLOV11中添加DCNV4 2.1 编译DCNV4 拉取代码 git clone https://github.com/OpenGVLab/DCNv4 进行编译 cd DCNv4/DCNv4_op sh make.sh 2.2 修改yolov11代码 a) 在yolov11中添加DCNV4.py文件 找到ultralytics/nn/moudels,将DCNV4.py文件添加到该文件夹下 ...
Jan 15, 2024: 🚀 "DCNv4" is released! Introduction We introduce Deformable Convolution v4 (DCNv4), a highly efficient and effective operator designed for a broad spectrum of vision applications. DCNv4 addresses the limitations of its predecessor, DCNv3, with two key enhancements: 1. removing...
[CVPR 2024] Deformable Convolution v4. Contribute to tlwzzy/DCNv4 development by creating an account on GitHub.
[CVPR 2024] Deformable Convolution v4. Contribute to OpenGVLab/DCNv4 development by creating an account on GitHub.
YOLO有效涨点改进永久更新,学习改进过程中包括答疑解惑,助力高效发论文。DCNv4可变性卷积 | CVPR 2024 | YOLO改进 | DCNv4即插即用模块,适用于图像分类,目标检测,图像分割,图像生成等所有CV任务通用模块, 视频播放量 2657、弹幕量 2、点赞数 41、投硬币枚数 18、收藏人