Nov 27, 2019 · In this paper, we propose Cross Stage Partial Network (CSPNet) to mitigate the problem that previous works require heavy inference computations from the network architecture perspective. We attribute the problem to the duplicate …

文章提出了一种跨阶段局部网络(CSPNet)，以缓解以往的工作需进行大量推理计算的问题。 在当前风靡一时的YOLOv4目标检测网络中，也引用了CSPNet的思想。

Aug 20, 2021 · Cross Stage Partial Network (CSPNet) is designed, to attribute the problem to the duplicate gradient information within network optimization, complexity can be largely reduced while...

Mar 6, 2024 · In this study, we introduce Cross Stage Partial Network (CSPNet). The main purpose of designing CSPNet is to enable this architecture to achieve a richer gradient combination while reducing the amount of computation.

Nov 28, 2019 · In this study, we introduce Cross Stage Partial Network (CSPNet). The main purpose of designing CSPNet is to enable this architecture to achieve a richer gradient combination while reducing the amount of computation. This aim is achieved by partitioning feature map of the base layer into two parts and then merging them through a proposed

Partial Network (CSPNet) to mitigate the problem that pre-vious works require heavy inference computations from the network architecture perspective. We attribute the problem to the duplicate gradient information within network opti-mization. The proposed networks respect the variability of the gradients by integrating feature maps from the begin-

This is the implementation of "CSPNet: A New Backbone that can Enhance Learning Capability of CNN" using Darknet framwork. For installing Darknet framework, you can refer to darknet(AlexeyAB). Combining with CIoU, Scale Sensitivity, IoU Threshold, Greedy NMS, Mosaic Augmentation, ...

Mar 5, 2021 · CSPNet是一种新型网络结构，旨在优化含ShortCut结构的网络，如DenseNet和ResNet，通过改善梯度信息重复利用减少计算量。 在ImageNet和MSCOCO数据集上表现出优秀的性能。

In this paper, we propose Cross Stage Partial Network (CSPNet) to mitigate the problem that previous works require heavy inference computations from the network architecture perspective. We attribute the problem to the duplicate gradient information within network optimization.

In this paper, we propose Cross Stage Partial Network (CSPNet) to mitigate the problem that previous works require heavy inference computations from the network architecture perspective. We attribute the problem to the duplicate gradient information within network optimization.