常规目标检测方案往往采用重骨干+轻Neck模式,即骨干部分的计算量占据主导地位(这种设计源自历史遗留问题,即骨干网络往往需要从图像识别模型进行迁移,而非针对目标检测进行端到端设计)。这种检测架构设计会导致次优性能。 为此,我们提出了一种新的重Neck架构GiraffeDet(类长颈鹿网络)用于高效目标检 … See more 为达成更高效、更充分的多尺度信息交换,本文提出了GiraffeDet用于高效目标检测,giraffe包含轻量space-to-depth chain、Generalized-FPN以 … See more GiraffeDet的成功源自架构的设计以及每个模块的技术升级。为更好的分析GiraffeDet每个模块的作用,我们进行了一系列消融实验。 Connection Analysis上表对比了Neck部分不同连接方式的性能对比,从中可以看到: 1. … See more 在具体实现方面,GiraffeDet采用了GFocalV2作为检测头,采用ATSS进行标签分配。为增强从头开始训练的稳定性,我们采用了多尺度训练。相关训练超参见上表。 上表给出了所 … See more Webnormalize=transforms. Normalize(mean=[0.485,0.456,0.406],std=[0.229,0.224,0.225]) An example of such normalization can be found in the imagenet example here The process for obtaining the values of meanand stdis roughly equivalent to: importtorchfromtorchvisionimportdatasets,transformsasTtransform=T. Compose([T. …
GitHub - implus/GFocalV2: Generalized Focal Loss V2: …
WebThe Generalized Additive Model for Location, Scale and Shape (GAMLSS) is an approach to statistical modelling and learning. GAMLSS is a modern distribution-based approach to (semiparametric) regression.A parametric distribution is assumed for the response (target) variable but the parameters of this distribution can vary according to explanatory … WebBEVDet/mmdet3d/models/necks/lss_fpn.py Go to file Go to fileT Go to lineL Copy path Copy permalink This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Cannot retrieve contributors at this time 60 lines (53 sloc) 2.44 KB Raw Blame Edit this file E dj sumbody\u0027s partner
小目标到大目标一网打尽!阿里提出首个轻骨干重Neck的 …
WebNAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection Abstract: Current state-of-the-art convolutional architectures for object detection are manually designed. Here we aim to learn a better architecture of feature … WebBEVDepth / bevdepth / layers / backbones / base_lss_fpn.py Go to file Go to file T; Go to line L; Copy path Copy permalink; This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Cannot retrieve contributors at this time. 615 lines (542 sloc) 22.9 KB WebApr 14, 2024 · Recently Concluded Data & Programmatic Insider Summit March 22 - 25, 2024, Scottsdale Digital OOH Insider Summit February 19 - 22, 2024, La Jolla dj sumirock 2022