20-CVPR-Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization

2024-06-20 01:11:21

目录

MMAL-Net多分支多尺度

注意力目标定位模块（AOLM）

注意力局部提议模块（APPM）

MMAL-Net多分支多尺度

对比RA-CNN

1参数是用不同尺度图像训练的所以可以分类不同尺度图像。the parameters of CNN and FC in our three branches are shared. Therefore, through the common learning process of the three branches, the trained model has a good classification ability for different scales and parts of object.

2不需要计算多个局部区域图像的特征向量然后concat。the best classification performance is simply obtained by the result of object branch。

注意力目标定位模块（AOLM）

类似SCDA，但是使用的Resnet50。

这里把求和后的特征图F叫激活图A

1ResNet50预训练模型SCDA没法达到和VGG16预训练模型相似的精度。所以作者用训练集训练 ResNet-50，提升目标定位精度【指的应该就是第二个分支】。

2 相应这也换了层求交集。

注意力局部提议模块（APPM）

激活图上高激活值的区域通常是定位的关键部分

全卷积网络实现传统的滑动窗方法，从上一个分支的特征图输出中得到不同窗口的特征图

计算窗口激活均值代表窗口信息量进行排序（这里难道不就是个全局平局池化吗？）

降低区域冗余，NMS选择尺度不同的固定个数的窗口作为局部图像

非极大值抑制NMS：https://blog.csdn.net/shuzfan/article/details/52711706

排序后的、不同重要程度的局部区域

代码https://github.com/ZF4444/MMAL-Net

20-CVPR-Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization相关推荐

《MA‑CRNN: a multi‑scale attention CRNN for Chinese text line recognition in natural scenes》论文阅读
参考博文: CRNN的一个变种,可以读一读,看看相对于CRNN来说有什么变化?以及为什么? 文章目录 make decision step1:读摘要 step2:读Introduction step3 ...
Automatic Head and Neck Tumor Segmentation in PET/CT with Scale Attention Network（HECKTOR2020第四名）
Automatic Head and Neck Tumor Segmentation in PET/CT with Scale Attention Network HECKTOR2020第四名基于尺 ...
论文分享——Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
文章目录文章简介 1.背景介绍研究背景概念介绍问题描述 IC与VQA领域的主要挑战 2.相关研究 CNN+RNN体系架构 Attention mechanism Bottom-Up and T ...
Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization
Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization 文章目录 ...
方面级paper8Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis(2019ACL)
Paper link: https://arxiv.org/pdf/1906.01213v1.pdf Code link: Source:2019 ACL Author:Jasminexjf Time ...
Progressive Self-Supervised Attention Learning forAspect-Level Sentiment Analysis论文阅读
Progressive Self-Supervised Attention Learning forAspect-Level Sentiment Analysis翻译及理解 1.本文针对神经网络在学习 ...
Machine Learning week 10 quiz: Large Scale Machine Learning
Large Scale Machine Learning 5 试题 1. Suppose you are training a logistic regression classifier using ...
【原】Coursera—Andrew Ng机器学习—课程笔记 Lecture 17—Large Scale Machine Learning 大规模机器学习...
Lecture17 Large Scale Machine Learning大规模机器学习 17.1 大型数据集的学习 Learning With Large Datasets 如果有一个低方差的模型 ...
论文阅读——Multi-Scale Image Contextual Attention Learning for Inpainting
原文链接:MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting (IJCAI 2019). Wang, N., ...
【Transformer论文解读】TRAR: Routing the Attention Spans in Transformer for Visual Question Answering
TRAR: Routing the Attention Spans in Transformer for Visual Question Answering 一.Background With its ...

最新文章

热门文章