Buy Now | DiRT 4 - The official game site
Buy DiRT 4 now – the latest game in Codemasters’ award-winning off-road racing series.
Game Information | DiRT 4 - The official game site
Game information about DiRT 4 – the latest game in Codemasters’ award-winning off-road racing series.
Welcome to DiRT 4 | DiRT 4 - The official game site
Welcome to DiRT 4 – the latest game in Codemasters’ award-winning off-road racing series.
DiRT 4 - Steam Community
DiRT 4 - DiRT 4 out now for macOS and Linux.Motorsport by its very nature is dangerous. DiRT 4 is all about embracing that danger. It’s about the thrill, exhilaration and adrenaline that is absolutely vital to off-road racing. And more than that, it’s about loving that feeling. It’s about pushing flat out next to a sheer cliff drop. Going for the gap that’s slightly too small. Seeing ...
论文解读：DETR 《End-to-end object detection with ... - CSDN …
2021年4月14日 · 这篇博客详细解读了ECCV 2020论文《End-to-end object detection with transformers》。
[2005.12872] End-to-End Object Detection with Transformers
2020年5月26日 · We present a new method that views object detection as a direct set prediction problem. Our approach streamlines the detection pipeline, effectively removing the need for many hand-designed components like a non-maximum suppression procedure or anchor generation that explicitly encode our prior knowledge about the task. The main ingredients of the new framework, called DEtection TRansformer or ...
News - Now Available on Steam - DiRT 4
2017年6月9日 · DiRT 4 is Now Available on Steam! DiRT 4 is all about embracing fear. It’s about the thrill, exhilaration and adrenaline that is absolutely vital to off-road racing. It’s about loving the feeling of pushing flat out next to a sheer cliff drop, going for the gap that’s too small and seeing how much air you can get. Be Fearless.
深度学习之目标检测（十一）--DETR详解-CSDN博客
2021年9月26日 · 文章浏览阅读10w+次，点赞259次，收藏1.3k次。深度学习之图像分类（十一）DETR详解深度学习之目标检测（十一）-- DETR详解深度学习之图像分类（十一）DETR详解1. 前言2. DETR 框架2.1 CNN Backbone2.2 Transformer Encoder2.3 Transformer Decoder2.4 FFN3. 二分图匹配和损失函数4. 代码5. 总结继 Transformer 应用于图像分类后 ...
【详细解读DETR，基于transformer的目标检测 ... - CSDN博客
1、概述 DETR，全称为Detection Transformer，是Facebook在ECCV2020上提出的基于Transformer的端到端目标检测网络 最大的特点就是：不需要预定义的先验anchor，也不需要NMS的后处理策略，就可以实现端到端的目标检测。 但是，DETR大目标检测上性能是最好的，而小目标上稍差，而且基于match的loss导致学习很难收敛 ...
GitHub - facebookresearch/detr: End-to-End Object Detection …
End-to-End Object Detection with Transformers. Contribute to facebookresearch/detr development by creating an account on GitHub.