All Questions
Tagged with machine-learning cnn
368
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How specific should I be with my region of interest in image data for training a CNN model for better accuracies?
I am trying to train a 3D CNN model for classification of cancer stages on a dataset that comprises of head to neck CT image series which is split into 5 classes corresponding to the stages of cancer....
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What are good configs for running UNet3DConditionModel on 8 GB VRAM? (64x64x64 inputs)
What are good configs for running UNet3DConditionModel on 8 GB VRAM? (64x64x64 inputs)
More specifically for this project I'm looking to use HuggingFace's UNet3DConditionModel on my home PC on a RTX ...
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Downsampling an image in the right way
I was not shure where to ask this question, but SE Data Science seems to be the best place for it.
So I tried to build a CNN based super resolution model. Unfortunately I have only high-res images but ...
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Invalid Input shape for input tensor on Multimodal CNN
Im trying to build an image classification model with multimodality, it takes SAR and optical images, both types of images have FITS format.
The optical images have shape (None, 512, 512, 3), while ...
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Why is my 3D CNN stuck at constant accuracy?
I am writing a CNN for binary classification MedMNIST data: https://medmnist.com/, specifically the Lung Nodule 3D dataset (N=1633 and 7:1:2). Currently, my model is not training at all; it is either ...
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Help with a MaNet finetuning (binary semantic segmentation task)
Introduction: I am currently working on a computer vision problem, I have satellite images and I have to detect a particular archeological structure (Tell). I have access to the previously made ...
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Using a Genetic Algorithm in junction with a digit classifier CNN to create an "MNIST image generator"
I'm trying to use a genetic algorithm that optimizes a 28x28 matrix (its shape) to make it look like an image of the number 7 that could be found in the MNIST image dataset.
My attempt is to basically ...
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Is it fair to say that Hausdorff Distance (HD) focuses on low level details while dice score (DSC) high level
I wonder if its make sense to say that Hausdorff Distance (HD) measures low-level details while dice score (DSC) focuses on high levels.
If you could cite a paper, I would appreciate it.
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CNN segmentation models: class weights specification on IoU metric
I am building a MANet model using pytorch lightning. For getting the model I use the library segmentation models. As my objective is to do binary semantic segmentation, during the test phase I ...
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Design a CNN that can detect the face in the given input image
a. What strategy will you use? How many layers? How many filters?
b. Describe the filters for each layer in detail.
c. Show how the convolutions will work and demonstrate that your CNN will be able to ...
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Tensorflow outputs nan for basic object detection/classification
I am receiving nan as my accuracy and loss outputs after each epoch for basic object detection in tensorflow. Also, my results (classification and bounding box ...
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Binary Classification of Images- CNN
I am learning ML and am working on a CNN problem where I need to classify images of CATS and DOGS.
The way I have setup the labels is that cats are 1 and dogs are 0. I have made the final output layer ...
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108
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Deep learning model produces very different results when classifying the same samples
I'm trying to design a simple deep learning application for biometric system verification, but every time I run the application I get very different results and I can't figure out why. I don't use ...
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Torchvision Faster-RCNN, modified loss function
I'm trying to solve a problem of table detection in spreadsheets in Excels. I've came across this paper, which suggests to use modified version of Faster RCNN to do object detection on the ...
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Looking for suggestions on the model/algorithm for 2D row labeling
As an experiment, I'd like to train a model to label a few rows of data on a 2D tensor. F.e. on a black and white image, label the "darkest" and "lightest" row.
Is this a task for ...
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