Web也就是替换142到145行的代码(官方7.0代码仓库)。 nwd = wasserstein_loss ( pbox , tbox [ i ]) . squeeze () iou_ratio = 0.5 # 如果数据集全是小目标，此处推荐设置为0，也就是只计算NWD lbox += ( 1 - iou_ratio ) * ( 1.0 - nwd ) . mean () + iou_ratio * ( 1.0 - iou ) . mean () # iou loss # Objectness iou = ( iou . detach () * iou_ratio + nwd . detach () * ( 1 ... Web18 de nov. de 2024 · 3.3 Normalized Gaussian Wasserstein Distance. 使用Optimal Transport理论中的Wasserstein distance来计算分布距离。对于2个二维高斯分布，和，和之间的Wasserstein distance为: 上式可以简化为: 其中，是Frobenius norm。 此外，对于由BBox 和建模的高斯分布和，上式可进一步简化为：
武汉大学提出：小目标检测新范式！抛弃IoU-Based ...
Web8 de abr. de 2024 · YOLOv7代码实践 + 结合用于小目标检测的Normalized Gaussian Wasserstein Distance, 一种新的包围框相似度度量，高效涨点 YOLOv7改进之WDLoss 独家首发更新｜高效涨点2%改进用于小目标检测的归一化高斯 Wasserstein Distance Loss，提升小目标检测的一种新的包围框相似度度量 WebAn implementation of Sliced Wasserstein Distance (SWD) in PyTorch. GPU acceleration is available. ... Output number of pyramids is n_pyramid + 1, because lowest resolution … newton meter to ft-lb
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WebOn the space of Gaussian measures, the Riemannian metric g given by gN(V)(X,Y) = tr(XVY) for any tangent vectors X,Y in TN(V)N d 0 = Sym(d,R) induces the L2-Wasserstein distance. We mention that the L2-Wasserstein metric is different from the Fisher metric. For example, for d= 1, the space of Gaussian measures with the Fisher met- WebThe use of the Wasserstein distance for GoF testing has been considered mostly for univariate distributions (Munk and Czado, 1998; del Barrio et al., 1999;delBarrioetal.,2000;delBarrio,Gin´eandUtzet,2005).Forthemultivari- Web13 de mai. de 2024 · $\begingroup$ There are dozen of ways of computing the Wasserstein distance. Many of those are actually algorithms designed to solve the more general optimal transport problem. Arguably the most common ones are the network simplex algorithm (exact) or the Sinkhorn algorithm (approximate). newton meter to foot pounds