本文介绍了一个在空间和尺度上全活跃特征交互(fully active feature interaction across both space and scales)的特征金字塔transformer模型,简称FPT。该模型将transformer和Feature Pyramid结合,可用于像素级的任务,在论文中作者进行了目标检测和实力分割,都取得了比较好的效果。为了讲解
简介:本文介绍了一个在空间和尺度上全活跃特征交互(fully active feature interaction across both space and scales)的特征金字塔transformer模型,简称FPT。该模型将transformer和Feature Pyramid结合,可用于像素级的任务,在论文中作者进行了目标检测和实力分割,都取得了比较好的效果。为了讲解清楚,若有transformer不懂的读者...
To address this problem, we propose a novel end-to-end Attention Feature Pyramid Transformer Network framework to learn the object detectors with multi-scale feature maps via a transformer encoder-decoder fashion. AFPN learns to aggregate pyramid feature maps with attention mechanisms. Specifically, ...
1. Cross-Layer Feature Pyramid Transformer(CFPT)的基本原理 CFPT 是一种专为航拍图像中小目标检测设计的特征金字塔网络。它避免了传统的上采样操作,而是通过跨层交互直接实现特征融合,减少了信息丢失和计算复杂度。CFPT 的核心在于两种精心设计的注意力模块: 跨层通道注意力(CCA):通过沿通道维度划分标记组来实现跨...
To this end, we propose a fully active feature interaction across both space and scales, called Feature Pyramid Transformer (FPT). It transforms any feature pyramid into another feature pyramid of the same size but with richer contexts, by using three specially designed transformers in self-level...
虽然没比过 Vision Transformer 结构,但作者称毕竟这篇文章是专注于核心的,就第一张图中间的部分。如果进一步将 Transformer 结构考虑进输出端,作者相信结果一定会更好～ 论文信息 Trident Pyramid Networks: the Importance of Processing at the Feature Pyramid Level for Better Object Detection arxiv.org/pdf/2110...
文献类型:会议论文 英文题名:Swin Transformer with Feature Pyramid Networks for Scene Text Detection of the Secondary Circuit Cabinet Wiring 作者:Zeng, Chengbin Song, Chunli 第一作者:曾成斌 机构:[1] School of Big Data, Guizhou Institute of Technology, Guiyang, China...
FPN:Feature Pyramid Network 基于CNN固有的pyramid hierarchy,通过skip connection构建一个从上到下的通道(top-down path), 仅需要少量成本生成特征金字塔 feature pyramid,并且对于每一层的 不同尺寸的 feature pyramid都进行目标检测。 实际上就是D的改进版,D是只在最下面一层进行检测,而FPN是在每一层进行检测。
可以看到这篇文章所有实验都只和 FPN 对比,可能是因为确实大幅不如 Transformer,感兴趣的朋友可以翻到前几篇关于 Transformer 的文章对比下同数据集实验结果。 论文信息 FaPN: Feature-aligned Pyramid Network for Dense Image Prediction https://arxiv.org/pdf/2108.07058.pdf ...
In thispaper, we propose the cross-layer feature pyramid transformer designed for small object detection in aerial images. Below is the performance comparison with other feature pyramid networks based on RetinaNet on the VisDrone-2019 DET dataset. ...