Questions tagged [convolutional-neural-network]

Question 1

Is object aspect ratio truly important for resize robustness, or is this suggestion based on a misunderstanding — e.g., treating a very wide object as if it is “bigger” or “pixel-richer” than a square ...

Question 2

I have a fairly good understanding of the basic convolution operation and how padding & stride affect its output, but dilation is something new to me. So I am going to make some broad statements ...

Question 3

I am training a VAE architecture on microscopy images. Dataset of 1000 training images, 253 testing images. Images are resized to 128x128 input or 256x256 input from original resolution which is ...

Question 4

I'm working on a binary classification task where the goal is to determine whether a tissue contains malignant cells Each instance in my dataset consists of a microscope image of the cell a small set ...

Question 5

I am working on a scheduling problem where I am willing to solve that by Graph Convolutional Neural Network (GCNN). The problem is stated as follows: There is an assembly product graph with $\text{G(V,...

Question 6

I am trying to fine-tune a transformer/encoder based pose estimation model available here at: https://huggingface.co/docs/transformers/en/model_doc/vitpose When passing "labels" attribute to ...

Question 7

So I've been working on this convolutional neural network but my accuracy is stuck at 62% without improving and I'm afraid I'm in rather severe situation with the overfitting issue. I've been trying ...

Question 8

I do see a lot of answers on the same topic. However, I have a part that still confuses me so I ask this question. https://stackoverflow.com/questions/38553927/batch-normalization-in-convolutional-...

Question 9

I want to teach a neural network to play TicTacToe using Q-learning. I've seen this method implemented with the basic cartpole environment, and wanted to give TicTacToe a try. My question is how I ...

Question 10

I've been trying effortlessly (to no avail) for the past month to run a CNN. I previously tried PyTorch without success, and am trying Tensorflow as it appears simpler. I have simulated data from a ...

Question 11

I am overwhelmed by the literature and every example problem I see that uses Pytorch or TensorFlow differ from mine. I have N simulations of data on a grid- they are matrices of latitudes and ...

Question 12

I was reading following paper: Deconvolution and Checkerboard Artifacts. The text says that Both deconvolution and the different resize-convolution approaches are linear operations, and can be ...

Question 13

Group convolutions theoretically should reduce the number of parameters and hence improve the speed of inference, without significantly affecting the performance of the model. However, I don't notice ...

Question 14

When I convert an Efficient net v2 m model from Pytorch to Onnx on differently sized inputs, I notice a strange and unexplained behavior. I was hoping to find an explanation to my observations from ...

Question 15

I have a question about how a CONV2D layer handles time series data. How with filters that scroll through time, our model can extract features and capture and model our target value? Thank you in ...

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Questions tagged [convolutional-neural-network]

does object Aspect-ratio affect our resize policy?

Convolution Kernels - Understanding dilation

Possible to Improve Reconstruction Quality and Accuracy with VAE?

Combining image and tabular data for a binary classification task

How to use graph convolutional neural network (GCNN) to predict the appropriate patterns to solve an scheduling problem

Loss while fine tuning a transformer based pose estimation model not reducing

Overfitting problem of convolutional neural network; how to fix?

Inference time Batch Normalization's Unbiased Variance Estimate in Convolutional Neural Network

Q-Learning TicTacToe Bot

Please help with 1d Convolutional Neural Network with two channels in Tensorflow

What program/function should I use to run a Convolutional NN to train simulated movement data against parameters that generated them?

Deconvolution, NN-resize convolution

Are group convolutions still used?

Efficient Net V2 M ONNX model infers significantly slower on small input

Conv2d with time series

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