为了使深度 CNN 衍生的特征对细粒度鸟类分类的目标任务更有鉴别力,ImageNet 预训练的 CNN 首先根据原始 CUB 图像的地面实况边界框裁剪对 200 路鸟类分类任务进行微调。 特别是,CaffeNet 中最初的1000 路 fc8 分类层(与 AlexNet 几乎相同)被新的 200 路 fc8 层所取代。 全对象边界框注释和一组固定的语义部分...
While computer vision has been widely used in food waste reduction research, existing food image datasets are typically aggregated into broad categories (e.g., fruits, meat, dairy, etc.) rather than the fine-grained singular food items required for this research. The aim of this study is to...
1.Fine-Tuning Existing Parameter by Regularization 用正则化的方式微调pre-trained的参数θ0到FSL任务中。(1)中用在image net 上预训练,然后用一个含有大量用于前景分割的数据集tune,之后再用one-shot目标分割的分割数据进行进一步微调。给定一个few-shot D-train,直接用来fine-tune可能会导致过拟合,下列还有几个...
In this paper, we propose a novel domain-specific dataset named VegFru for fine-grained visual categorization (FGVC). While the existing datasets for FGVC are mainly focused on animal breeds or man-made objects with limited labelled data, VegFru is a larger dataset consisting of vegetables and ...
Deep learning_CNN_Review:A Survey of the Recent Architectures of Deep Convolutional Neural Networks——2019 CNN综述文章 的翻译 [2019 CVPR] A Survey of the Recent Architectures of Deep Convolutional Neural Networks 翻译 综述深度卷积神经网络架构:从基本组件到结构创新 目录 摘要 1、引言 2、CNN基本组件...
In this paper, we apply a mixture of experts approach to further enhance the accuracy of transfer learning networks on a fine-grained categorization problem, expanding on the work of Firsching and Hashem. Mixture of experts approaches may help to improve accuracy on categorization problems. Likewise...
本文首先对颜大佬和张博士发表在TPAMI2023上的最新长尾学习研究《Deep Long-Tailed Learning: A Survey》进行解读,并在次基础上对长尾学习的相关资源进行整合。 《Deep Long-Tailed Learning: A Survey》arxiv.org/pdf/2110.04596.pdf Awesome-LongTailed-Learninggithub.com/Vanint/Awesome-LongTailed-Learning...
et al.: Survey on AI-based multimodal methods for emotion detection. In: High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet, pp. 307–324 (2019) Radu, V., et al.: Multimodal deep learning for activity and context ...
In addition, most existing methods adopt hard labels to supervise the network model, which makes the model prone to losing fine-grained information of ground objects. In order to solve these problems, a feature-augmented self-distilled convolutional neural network (FASDNet) is proposed. First, ...
[2019 CVPR] A Survey of the Recent Architectures of Deep Convolutional Neural Networks 翻译 综述深度卷积神经网络架构:从基本组件到结构创新 目录 摘要 1、引言 2、CNN基本组件 2.1 卷积层 2.2 池化层 2.3 激活函数 2.4 批次归一化 2.5 Dropout 2.6 全连接层 3、深度CNN结构演化史 3.1 1980年代末至1999年...