Questions tagged [pretrained-models]
For questions related to pre-trained model. A pre-trained model is a model that was trained on a large benchmark dataset to solve a problem similar to the one that we want to solve. Accordingly, due to the computational cost of training such models, it is common practice to import and use models from published literature (e.g. VGG, Inception, MobileNet)
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Is there a pre-trained network trained on RGB-D (4) channels? [closed]
The most used pre-trained networks for computer vision (e.g. ResNet50) are trained on 3 channels (RGB). At the same time, many cameras used in robotics return RGB-D outputs, that is including depth ...
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37 views
How to use a conv2d layer after a flatten?
I am not familiar with Deep learning and Pytorch. And I want to know how to deal, in general with such a situation. So, I was wondering if I used a pretrained model (EfficientNet for example) if I ...
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Is it possible to improve the average precision of YOLO trained on Open Images Dataset by fine-tuning it with COCO?
I consider pre-training a YOLOv5 with Google Open Images Object Detection dataset. The dataset includes general domain categories with ~15 M box samples. After the pre-training is done, I will fine-...
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31 views
Extract Features at Multiple Image-Scales
I try to replicate the results of this paper. They state, that they used VGG16- and VGG19-models pretrained on imagenet and used the output of the last convolutional layer (without relu and max-...
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89 views
Which hyperparameters in neural network are accesible to users adjustment
I am new to Neural Networks and my questions are still very basic.
I know that most of neural networks allow and even ask user to chose hyper-parameters like:
amount of hidden layers
amount of ...
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1answer
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BERT: After pretraining 880000 step, why fine-tune not work? [closed]
I am using pretraining code from https://github.com/NVIDIA/DeepLearningExamples
Pretrain parameters:
...
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Is it good practice to save NLP Transformer based pre-trained models into file system in production environment
I have developed a multi label classifier using BERT. I'm leveraging Hugging Face Pytorch implementation for transformers.
I have saved the pretrained model into the file directory in dev environment. ...
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31 views
How to measure/estimate the energy consumption of CNN models during testing?
Does someone know a method to estimate / measure the total energy consumption during the test phase of the well-known CNN models? So with a tool or a power meter...
MIT has already a tool to estimate ...
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Can StyleGAN be refined without a full training?
Can I refine StyleGAN or StyleGAN2 without retraining it for many days, such that its pretrained model is trained to generate only faces similar to a (rather small) set of reference images?
I would ...
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1answer
44 views
How to add a pretrained model to my layers to get embeddings?
I want to use a pretrained model found in [BERT Embeddings] https://github.com/UKPLab/sentence-transformers and I want to add a layer to get the sentence embeddings from the model and pass on to the ...
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1answer
861 views
How to use pre-trained BERT to extract the vectors from sentences?
I'm trying to extract the vectors from the sentences. Spent soo much time searching for the pre-trained BERT models but found nothing.
Is it possible to get the vectors using pre-trained BERT from ...
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27 views
How to Extract required fields from a text(pdf extracted)file?
I have extracted text from pdf files to each text file.
Sample of a text file:
...
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1answer
60 views
How does a software license apply to pretrained models?
Google provides a lot of pretrained tensorflow models, but I cannot find a license.
I am interested in the tfjs-models. The code is licensed Apache-2.0, but the models are downloaded by the code, so ...
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Can mobilenet in some cases perform better than inception_v3 and inception_resnet_v2?
I have implemented a multi-label image classification model where I can choose which model to use, I was surprised to find out that in my case mobilenet_v1_224 performed much better (95% Accuracy) ...
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37 views
How can I improve the performance of a model trained to detect vehicle poses?
I'm looking for some suggestions on how to improve our vehicle image recognition. We have an online marketplace where customers submit photos of their vehicles. The photos need to meet certain ...
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1answer
76 views
Are there any better visual models for transfer rather than ImageNet?
Similar to the recent pushes in Pretrained Language Models (BERT, GPT2, XLNet) I was wondering if such a thrust exists in Computer Vision?
From my understanding, it seems the community has converged ...
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1answer
587 views
How can I read the .weights file that stores the weights of the pre-trained YOLO in Keras? [closed]
I would like to use the pre-trained weights of YOLO (tiny version, v1) in Keras, which are given in a file with extension .weights (here is an example). How can I ...
