* [推荐]题目: Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey* PDF: arxiv.org/abs/2307.1623* 作者: Gabriele Lagani,Fabrizio Falchi,Claudio Gennaro,Giuseppe Amato* 题目: Motion Degeneracy in Self-supervised Learning of Elevation Angle Estimation for 2D Forward-Looking...
* 题目: Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation* PDF: arxiv.org/abs/2306.1429* 作者: Qianying Liu,Xiao Gu,Paul Henderson,Fani Deligianni* 题目: A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering ...
以下是一个使用深度残差网络(Deep Residual Network)进行图像语义分割的示例代码,同样使用了PyTorch框架和FCN算法: 代码语言:javascript 复制 pythonCopy codeimport torchimporttorch.nnasnnimporttorchvision.transformsastransforms from torchvision.models.segmentationimportfcn_resnet50 # 创建FCN模型,使用ResNet-50作为特征...
深度学习图像分割综述📖 Image Segmentation Using Deep Learning: A Survey 原文连接:https://arxiv.org/pdf/2001.05566.pdf Abstract 图像分割应用包括场景理解、医学图像分析、机器人感知、视频监控
Four deep learning models were evaluated, which were constructed on the basis of U-Net architecture for semantic segmentation13(Fig.1e). Deep learning models based on U-Net have demonstrated powerful performance in binary semantic segmentation of grayscale images13,15,16. U-Net consists of a fu...
During training of deep learning models for segmentation, the parameters of the model are optimized by minimizing the difference, encoded by the loss function, between the model’s predictions and the real label from the reference standard. Therefore, the selection of an effective loss function to...
2.3.5 Bilinear deep network models 双线性深度网络模型 设计思想: 双线性模型是一种识别体系结构,由两个特征提取器组成,其输出在图像的每个位置使用外积相乘,并合并以获得图像描述符。 该架构可以以翻译不变的方式对局部成对特征交互进行建模,这对于细粒度分类特别有用。
* 题目: MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation* PDF: arxiv.org/abs/2305.1529* 作者: Marco Bellagente,Manuel Brack,Hannah Teufel,Felix Friedrich,Björn Deiseroth,Constantin Eichenberg,Andrew Dai,Robert Baldock,Souradeep Nanda,Koen Oostermeijer,Andres...
* 题目: Unleashing Modified Deep Learning Models in Efficient COVID19 Detection* PDF: arxiv.org/abs/2310.1408* 作者: Md Aminul Islam,Shabbir Ahmed Shuvo,Mohammad Abu Tareq Rony,M Raihan,Md Abu Sufian* 题目: Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based ...
Secondly, poor generalizability is the most common problems pertaining to deep learning models29. In this study, attempts were made to prevent overfitting by training the model on a large dataset from one center and testing its generalizability by holding out 3 independent validation cohorts. Although...