Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [image-segmentation]

For questions related to image segmentation (in computer vision and related AI fields).

For more info, see https://en.wikipedia.org/wiki/Image_segmentation.

118 questions
33
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5 answers

How can I deal with images of variable dimensions when doing image segmentation?

I'm facing the problem of having images of different dimensions as inputs in a segmentation task. Note that the images do not even have the same aspect ratio. One common approach that I found in general in deep learning is to crop the images, as it…
MattSt
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17
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1 answer

What is a fully convolution network?

I was surveying some literature related to Fully Convolutional Networks and came across the following phrase, A fully convolutional network is achieved by replacing the parameter-rich fully connected layers in standard CNN architectures by…
r4bb1t
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8
votes
1 answer

Validation accuracy higher than training accurarcy

I implemented the unet in TensorFlow for the segmentation of MRI images of the thigh. I noticed I always get a higher validation accuracy by a small gap, independently of the initial split. One example: So I researched when this could be…
Lis Louise
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7
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1 answer

What algorithms are used for image segmentation of images where objects are not composed of pixels that are similar in value?

In the process of segmentation, pixels are assigned to regions based on features that distinguish them from the rest of the image. Value Similarity and Spatial Proximity, for example, are two important principles that assume that points in the same…
user7369
5
votes
1 answer

Do models train better if the labelling information is more specific (or dense)?

I'm working on a project where there is a limited dataset of videos (about 200). We want to train a model that can detect a single class in the videos. That class can be of multiple different types of shapes (thin wire, a huge area of the screen,…
NateW
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4
votes
2 answers

Unet Overfitting for binary segmentation of fake images

I am working on a project where I am trying to detect and localize forgeries in images. I am using the CASIA v2 dataset and using Unet model for the task. I have the binary masks of all the images in the CASIA v2 dataset. The metric I am using for…
Yishu Malhotra
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4
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1 answer

What are some good alternatives to U-Net for biomedical image segmentation?

Soon I will be working on biomedical image segmentation (microscopy images). There will be a small amount of data (a few dozens at best). Is there a neural network, that can compete with U-Net, in this case? I've spent the last few hours searching…
Nuwanda
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4
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0 answers

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 requirements before the advert can be approved.…
mechane
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4
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2 answers

What are the best algorithms for image segmentation tasks?

I recently started looking for networks that focus on image segmentation tasks related to biomedical applications. I could not miss the publication U-Net: Convolutional Networks for Biomedical Image Segmentation (2015) by Ronneberger, Fischer, and…
Denis Joly
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4
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1 answer

What do the words "coarse" and "fine" mean in the context of computer vision?

I was reading the well know paper Fully Convolutional Networks for Semantic Segmentation, and, throughout the whole paper, they talk use the term fine and coarse. I was wondering what they mean. The first time they say it in the intro…
Charlie Parker
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4
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0 answers

What are some neural network models that can use auxiliary info during training for image segmentation?

What are some deep learning models that can use supplementary information other than RGB channels for image segmentation? For example, imagine a poorly shot image of a river (blue) that shows a gap, and the supplementary information is detailed…
Nanako Honda
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3
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2 answers

Which evaluation methods can I use for image segmentation?

I implemented an image segmentation pipeline and I trained it on the DICOM dataset. I compared the results of the model with manual segmentation to find the accuracy. Is there other methods for evaluation?
Shehnaz Ameer
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3
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1 answer

Custom Tensorflow loss function that disincentivizes all black pixels

I'm training a Tensorflow model that receives an image and segments the image into foreground and background. That is, if the input image is w x h x 3, then the neural network outputs a w x h x 1 image of 0's and 1's, where 0 represents background…
Sam Liu
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3
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1 answer

How to incorporate a symmetry constraint in the loss function to train a CNN?

I have a task of extremely sparse binary segmentation, i.e. the segmentation mask contains either 0 or 1, and there are ~95% zeros and only ~5% ones. I use the focal loss to address the sparseness (which is equivalent in my case to imbalances). I…
David
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3
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1 answer

What is the use of the regular convolutional layer in expansion path of U-Net?

I was going through the paper on U-Net. U-net consists of a contracting path followed by an expanding path. Both the paths use a regular convolutional layer. I understand the use of convolutional layers in the contracting path, but I can't figure…
Bhuwan Bhatt
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