The default CNN model didn't perform very well, getting only 10.4%. The pre-trained model also didn't perform as good as expected, so we decided to use GRU with the models, which increases the score. For the higher accuracy, we added bidirectional GRU to train the whole parameters in ...
YOLOv3速度和精度均衡的目标检测网络,相比于原作者 darknet 中的 YOLO v3 实现,PaddlePaddle 实现参考了论文Bag of Tricks for Image Classification with Convolutional Neural Networks增加了 mixup,label_smooth 等处理,精度 (mAP(0.50: 0.95)) 相比于原作者提高了 4.7 个绝对百分点,在此基础上加入 synchronize batc...
update image segmentation docs (#4458) 5年前 .pre-commit-config.yaml use the same version yapf with paddle main repo. 7年前 .style.yapf make working directories for example configurations. 8年前 .travis.yml Update .travis.yml to use a new script to deploy models documentation. ...
For sentiment analysis of text and image classification, Machine Learning Server offers two approaches for training the models: you can train the models yourself using your data, or install pre-trained models that come with training data obtained and developed by Microsoft. The advantage of pre-tra...
Hiwot Yirga · 1mo ago· 28 views arrow_drop_up0 Copy & Edit1 more_vert Pre-Trained Models for Image Classification with NotebookInputOutputLogsComments (0)Output Data An error occurred: Unexpected end of JSON input Download notebook output navigate_nextminimize content_copyhelp...
YOLOv3速度和精度均衡的目标检测网络,相比于原作者darknet中的YOLO v3实现,PaddlePaddle实现参考了论文Bag of Tricks for Image Classification with Convolutional Neural Networks增加了mixup,label_smooth等处理,精度(mAP(0.5:0.95))相比于原作者提高了4.7个绝对百分点,在此基础上加入synchronize batch normalization, 最终...
Object Recognition Models / 目标识别模型 目标识别模型用来进行Classification / 分类,Regression / 回归,Charcter recognition / 特征识别; 针对某种特征进行检测之后,再使用这些神经网络进行检测/识别(比如在人脸识别之后,再进行年龄/性别的识别); Reidentification Models / 再识别模型 ...
Full size image VGG19 was selected in this study to conduct our experiments in the process of detection of COVID-19 based on its superior performance over many pre-trained CNN models for COVID-19 detection based on the literature [67, 68]. Seven different CNN models (VGG19, DenseNet121,...
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models It has recently been discovered that using a pre-trained vision-language model (VLM), e.g., CLIP, to align a whole query image with several finer text desc... J Li,H Li,S Erfani,... 被引量: 0发表:...
Auto-Encoder(AE) Models: Text Understanding(Text Classification, Token Classification, Question Answering, Text Summarization) Auto-Regressive(AR) Models: Text Generation Encoder-Decoder: Text Translation 01 - Tokenization Resource 1: Summary of tokenizers | Hugging Face Resource 2: Do you need to pu...