
各种FPN:PANet、ASFF、NAS-FPN、BiFPN、Recursive-FPN.
Jun 18, 2021 · 物体检测性能提升,一般主要通过 数据增强、改进Backbone、改进FPN、改进检测头、改进loss、改进后处理 等6个常用手段。 其中FPN自从被提出来,先后迭代了不少版本。 …
Papers with Code - BiFPN Explained
A BiFPN, or Weighted Bi-directional Feature Pyramid Network, is a type of feature pyramid network which allows easy and fast multi-scale feature fusion. It incorporates the multi-level …
FPN、PAN、BiFPN的区别 - 人间别久不成悲 - 博客园
Aug 24, 2022 · 相较于其他特征融合网络,BiFPN的不同之处在于:首先,删除那些只有一个输入边的节点。 我们的直觉很简单:如果一个节点只有一个输入边而没有特征融合,那么它将对 …
[1911.09070] EfficientDet: Scalable and Efficient Object Detection
Nov 20, 2019 · First, we propose a weighted bi-directional feature pyramid network (BiFPN), which allows easy and fast multiscale feature fusion; Second, we propose a compound scaling …
GitHub - Changping-Li/YOLOv8_BiFPN: An end-to-end model, YOLOv8_BiFPN ...
Bidirectional Feature Pyramid Network (BiFPN): Enhances the performance of target detection by introducing a BiFPN structure into the detection head of YOLOv8. BiFPN is integrated during …
BiFPN-YOLO: One-stage object detection integrating Bi …
Apr 1, 2025 · A weighted Bi-Directional Feature Pyramid Network (BiFPN), was developed by Tan et al. [10] in 2019 and is utilised in the modified EfficientNet model referred to as EfficientDet. …
MM-BiFPN: Multi-Modality Fusion Network With Bi-FPN for MRI …
In this work, we propose a multimodal fusion network with bi-directional feature pyramid network (MM-BiFPN) using an individual encoder to extract the features of each of the four modalities …
-ally contribute to the fused output feature unequally. To address this issue, we propose a simple yet highly effective weighted bi-directional feature pyramid network (BiFPN), which introduces …
Review — EfficientDet: Scalable and Efficient Object Detection
Jul 29, 2021 · First, a weighted bi-directional feature pyramid network (BiFPN) is proposed, which allows easy and fast multi-scale feature fusion. Then, a compound scaling method is also …
Novel Recursive BiFPN Combining with Swin Transformer for
Oct 26, 2022 · In order to improve the feature extraction ability of the proposed network, we combine the advantages of BiFPN and RFPN and construct a novel Recursive BiFPN …
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