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...
Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial Images 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...
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...
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. ...
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 ...
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...
To resolve this, we propose Retro-FPN to model the per-point feature prediction as an explicit and retrospective refining process, which goes through all the pyramid layers to extract semantic features explicitly for each point. Its key novelty is a retro-transformer for summarizing semantic ...
This design divides the Transformer into multiple smaller modules, each incorporating the key techniques mentioned below, and employs a Feature Pyramid Network (FPN) (Lin et al., 2017a) structure. 3.2.1. Interactive scale embedded images block(ISEI) The Interactive Scale Embedded Images Block (...
Project on the implementation of deep-learning models for ship detection on SAR images. faster-rcnnsynthetic-aperture-radarfeature-pyramid-networkcascade-rcnnship-detectionfeature-enhancementswin-transformeradjacent-feature-fusion UpdatedFeb 28, 2023 ...
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。