Fu 等人和 Zheng等人率先引入注意力处理来提高细胞神经网络的细粒度识别精度。 RA-CNN 使用循环视觉注意力模型来选择一系列注意力区域(对应于对象的“部分”,这里的“部分”是指细粒度对象的松散定义的注意区域,这与手动注释中明确定义的对象部分不同)。RA-CNN 以先前的预测为参考,以从粗到细的方式迭代生成区域注意...
Abstract 1 INTRODUCTION 2 RECOGNITION VS. RETRIEVAL 细粒度识别:通过位置分类子网络识别,通过端到端特征编码识别,通过额外信息识别; 细粒度检索:基于内容的细粒度图片检索,基于草图的细粒度图片检索; …
主要包括:1)图像细粒度分析任务及背景;2)图像细粒度识别相关技术;3)图像细粒度检索相关技术;4)领域未来发展趋势。讲师介绍:魏秀参,博士,南京理工大学计算机科学与工程学院教授。主要研究领域为计算机视觉和机器学习,在相关领域国际期刊和会议发表论文五十余篇,Google Scholar Citations逾2500次,相关研究成果获得含...
细粒度图像识别(fine-grained image recognition),即精细化分类。 精细化分类 识别出物体的大类别(比如:计算机、手机、水杯等)较易,但如果进一步去判断更为精细化的物体分类名称,则难度极大。 最大的挑战在于,同一大类别下不同 子类别间的视觉差异极小。因此,精细化分类所需的图像分辨率较高。 目前,精细化分类的...
Figure1: Fine-Grained Image Analysis with DeepLearning: A Survey Fine-Grained Image Classification的挑战: necessary to capture the subtle visual differences (e.g., discriminative features such as ears, noses, or tails) --- 由于物体来自同一大类,样子相似 ...
当当中国进口图书旗舰店在线销售正版《预订 Fine-Grained Image Analysis: Modern Approaches 细粒度图像分析:现代方法: 9783031313769》。最新《预订 Fine-Grained Image Analysis: Modern Approaches 细粒度图像分析:现代方法: 9783031313769》简介、书评、试读、价格、
Fine-grained image analysis via progressive feature learning - ScienceDirectFine-grained recognitionAttention modelNeural networkDue to large intra-class variation and inter-class ambiguity, fine-grained object recognition has been a challenging task for decades. A good approach should be able to: (1)...
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.Deep Learning for Fine-Grained Image Analysis: A Survey. Xiu-Shen Wei, Jianxin Wu, and Quan Cui. arXiv: 1907.03069, 2019.A Survey on Deep Learning-based Fine-Grained Object Classification and Semantic Segmentation. Bo Zhao, ...
Fine-grained image recognition vs. traditional image recognition (coarse-grained) as an example.In traditional computer vision research, the categories of the target objects in image analysis are usually coarse-grained categories, such as “dog”, “car” and “bird”. However, in many real-...
Given a food image, can a fine-grained object recognition engine tell "which restaurant which dish" the food belongs to? Such ultra-fine grained image recognition is the key for many applications like search by images, but it is very challenging because it needs to discern subtle difference be...