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,关于...
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 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...
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。
In this paper, we introduce the Cross-Layer Feature Pyramid Transformer (CFPT), a novel upsampler-free feature pyramid network designed specifically for small object detection in aerial images. CFPT incorporates two meticulously designed attention blocks with linear computational complexity: the Cross-...
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 ...
Feature PyramidTransformer论文阅读翻译论文下载地址:点击此链接跳转. 送TA礼物 1楼2023-01-18 13:13回复 登录百度帐号 下次自动登录 忘记密码? 扫二维码下载贴吧客户端 下载贴吧APP看高清直播、视频! 贴吧页面意见反馈 违规贴吧举报反馈通道 贴吧违规信息处理公示0...
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...
Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial Images This repository provides the official PyTorch implementation of CFPT. In this paper, we propose the cross-layer feature pyramid transformer designed for small object detection in aerial images. Below is the performance ...
论文摘要 本文对单阶段目标检测中的FPN(feature pyramid networks特征金字塔网络)进行了重思考并指出,FPN的成功之处在于它对目标检测优化问题的分而治之解决思路而非多尺度特征融合。从优化的角度出发,作者引入了另一种方式替换复杂的特征金字塔来解决该优化问题:从而可以仅仅采用一级特征进行检测。基于所提简单而有效的...