Questions tagged [computer-vision]
For questions related to computer vision, which is an interdisciplinary scientific field (which can e.g. use image processing techniques) that deals with how computers can be made to gain high-level understanding from digital images or videos. For example, image recognition (that is, the identification of the type of objects in an image) is a computer vision problem.
533
questions
1
vote
1
answer
52
views
Do GANs have constant running time?
After the model is trained, you just need to input random noise and the generator will output an image, does this mean GANs have constant running time ? I'm asking about both naïve GAN and variants of ...
- 51
3
votes
0
answers
81
views
What are the advantages of GANs over Diffusion Models in image generation?
Diffusion Models have recently gained popularity in the field of image generation, with widely used products such as Stable Diffusion employing this approach and yielding impressive results. While ...
- 51
1
vote
0
answers
101
views
Question about the Conditioning Augmentation technique?
In the paper StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks, the goal is to convert text descriptions into images. The text encoder encodes the ...
- 51
0
votes
0
answers
57
views
How to detect negative (absence of) an object?
I want to detect the people that are NOT wearing PPE vests using a pre-trained object detection model like YOLO or Grounding Dino.
The models are able to detect people and vests separately, but I am ...
1
vote
2
answers
150
views
The training process of a conditional GAN
For example, consider a dataset like MNIST. I give the conditional vector to produce only the number $7$ for both the generator and discriminator. In the following scenarios, what will the ...
- 15
0
votes
1
answer
14
views
How to accurately detect grid cell boundaries in Python image processing?
I'm working on a Python algorithm to detect individual cells of a grid passed by an image. Currently, I'm facing an issue where the values inside each cell are being selected as contours along with ...
- 101
0
votes
1
answer
35
views
Is it possible to build a convolutional autoencoder with fully connected bottleneck with low dimension?
I want to do a project with a small size image dataset (the size is about 50*50). There's another similar dataset, and I want to prove that the datasets are different. I built a convolutional ...
- 3
0
votes
1
answer
111
views
In the conditional GAN (cGAN) architecture, why does the discriminator need conditional variable?
I'm reading about conditional GAN (cGAN) architecture, what I know is that the generator creates images combining both noise vector and conditional variable, the noise vector brings in random elements ...
- 15
0
votes
0
answers
9
views
in vgg16 ssd model, the feature maps from Conv5 and Conv7 are not directly used for prediction. Is my understanding correct?
the following ssd architecture comes from the original paper with 2 arrows i added.
the layer pointed out by the red arrow labelled "Conv4_3", followed by Conv6, and then Conv7. Conv4, ...
- 221
-2
votes
1
answer
38
views
How to run our python scripts utilizing our device's GPU? [closed]
My laptop has NVIDIA GeForce GTX1650 GPU. I want to utilize this GPU to run my Python script. Any help in the form of code would be really helpful. I mean tried researching this so much but I couldn't ...
- 1
0
votes
0
answers
10
views
Classes definition for detecting impervious surfaces on aerial photographies
My project is to use deep learning, essentially a UNET segmentation model, to detect impervious surfaces on high resolution aerial photographies.
I wonder if it's better to train the model with many ...
- 101
1
vote
0
answers
28
views
Replicating conv autoencoder for anomaly detection, very blurry reconstructions
I’m trying to train an autoencoder on the hazelnut dataset of MVTec AD for reconstruction to detect anomalies.
I’m am trying to replicate the results of this study:
https://arxiv.org/pdf/2008.12977....
- 165
0
votes
0
answers
23
views
How to measure similarities between text (word to word or word to phrase)?
Is there a way to measure to measure similarities between two pieces of text ? Think about the case where you have an image captioning model but you only want to deal/use specific class names. e.g. ...
- 31
0
votes
0
answers
26
views
Watermark removal without inpainting
Suppose I have a bunch of images that have been watermarked with a transparent logo with some unknown blending function g as ...
- 159
0
votes
0
answers
15
views
Using nearest neighbor in RANSAC
I found many resources online talking about nearest neighbor concept in RANSAC. For example, figure 2 of this paper, this article and this repo talk about nearest neighbor in the context of RANSAC. ...
- 101
0
votes
0
answers
9
views
Training ImageNet on Resnet - Dropping LR has little improvement on accuracy
I'm trying to train Resnet50 on Imagenet following this paper [1] as well as this one[2].
They say that at approximately every 30 epochs, I should drop the learning rate by 10.
Since I'm training on 8 ...
- 1
1
vote
1
answer
32
views
Can computer vision identify visual discrepancies in images?
I have an automated visual regression test harness for my web app. It takes baseline and change snapshots using puppeteer and compares them using pixelmatch. If I change the height of an element on ...
- 111
0
votes
0
answers
23
views
What algorithms could I use if I want to increase the accuracy of matched keypoints in an image pair?
Let's say that I used a keypoint detector like SIFT or SuperPoint to detect keypoints in image 1 and 2. Afterwards, I used a keypoint matcher to match corresponding keypoints in this image pair. The ...
- 101
0
votes
0
answers
14
views
Change face landmarks using face mesh
I'm trying to use computer vision or image processing techniques to make nose smaller. Using a SDK called mediapipe we are able to get face mesh, which provides ...
- 101
1
vote
2
answers
32
views
Is geodesic distance between two similar photos less than the Euclidean distance between them? If so, why?
This is from a ML book:
"Principal component analysis, which we discussed in section 6.3, works
when the data lies in a linear subspace. However, this may not hold in
many applications. Take, for ...
- 492
0
votes
0
answers
21
views
Building an algorithm that detects an area delimited by a quadrat
I want to build an algorithm that takes an image and outputs the same image, but cropped so that it focuses only on a particular area delimited by a quadrat, like so:
This is not my image as I am not ...
- 1
0
votes
0
answers
18
views
Discussion about Improving Visual Search Model Accuracy
My Visual Search Model is only achieving an accuracy of about 42% If anyone can give me advice to drastically improve this number I would greatly appreciate it. Below is my current flow of image ...
0
votes
0
answers
44
views
Calculating Homography for Image Stitching
Given two images that were taken from the same camera by pure rotation about the camera center, I am trying to stitch the images.
I identified the 4 corresponding pair of points by loading in the ...
0
votes
2
answers
48
views
Where does 0.2023 for normalization on cifar10 come from?
i'm studying a resnet50 tutorial, which contains the following piece of code
...
- 221
1
vote
0
answers
23
views
Siamese network, cosine similarity unexpected result?
I was reading more about siamese network and it's use for similarity problems and I've stumbled upon this https://keras.io/examples/vision/siamese_network/
I was surprised to see both similarities in ...
- 11
1
vote
1
answer
61
views
Which process is better to understand images?
What is the difference between this process of recognizing objects in a image:
(The correlation function calculate the correlation coefficient between the input and a image containing the object we ...
- 121
-1
votes
1
answer
48
views
What is the best lightweight alternative to VGG16 for image fingerprinting?
I am using a VGG16 model with the classification layer stripped off to generate vectors for an intermediate stage of an image fingerprinting algorithm. It works well, but VGG16 is a little hefty, and ...
- 136
0
votes
0
answers
25
views
Pixel-wise regression only focus on edge
I am trying to use unet to learn pixel-wise regression from one image to one groundtruth with the same image size. The network seems to focus too much on the edge of the image, and it does not learn ...
- 1
0
votes
0
answers
15
views
Yolo object detection metrics
I have made some predictions and saved the results to YOLO format. Then I made a program to calculate metrics, every metric looks fine except Precision/Confidence curve. I guess the flatline at the ...
0
votes
1
answer
41
views
How to add engineered features to an image segmentation model
I have built a U-net model for image segmentation of 3-channel remote sensing images. I have a total of four classes; two of these classes look very similar and are hard to distinguish in the images ...
- 1
1
vote
1
answer
76
views
How to generate a 3D model from only 1 image?
I'm posting this on the AI stack exchange because even though this can be solved with a "regular" complex and sophisticated algorithm, it seems that trying to generate something for which ...
- 11
1
vote
2
answers
58
views
Estimating texture parameters from images, one parameter is harder to learn [closed]
I am trying to use Keras to estimate parameters used in the generation of Voronoi textures. I got good results in estimating the scale parameter, but extremely poor ones in the estimation of the ...
- 121
0
votes
1
answer
77
views
Why don't people use their own random noise to counter adversarial attacks on computer vision systems?
Why couldn't you take the image an AI is given and apply several different random noise filters to the image and take the democratically most common response and use that for the output of the AI. As ...
- 103
1
vote
0
answers
37
views
Can back-bone of text-to-image GEN AI models utilised for classification?
With the advent of GEN AI (Stable Diffusion), we are able to create images with text. For eg. If i need to create a dog on beach during sunset; now in background this model needs to first get images ...
- 33
0
votes
0
answers
49
views
how to approach this problem (open set classification of diverse folder of images)
suppose we are presented with a folder of images. the task is just detect if any new image should belong in this folder or not.
in this folder, there may be natural groups of images that are similar ...
0
votes
0
answers
66
views
Model architecture object detection where entire image context and nearby objects are important to accurate prediction
I'm working on a model to classify multiple extremely similar looking objects in a single image. A simple object detection model works ok but the issue is that I'm classifying similar looking object ...
- 101
0
votes
0
answers
54
views
How to improve CRNN model(CTC loss) accuracy for OCR task?
I take this as baseline model. The main difference on RNN part,
...
- 101
0
votes
1
answer
100
views
Why YOLOv7 not detecting small objects
I am using YOLOv7 trained on custom dataset, and using the model weights after converting to ONNX for CVAT annotation. There it's only predicting few small objects. Is there any limit on small object ...
- 101
0
votes
0
answers
18
views
What model should I use to find coordinate locations of objects on an image (not bounding boxes)
I am developing a neural network to count pits on an etched crystal wafer, and I created a dataset by placing points on each pit.
Each line in my annotation file looks like this:
Id, Filepath, ...
0
votes
0
answers
82
views
Use AI/Computer Vision to detect scene changes
I'm trying to use AI and computer vision techniques to identify scene changes for a camera. Something like this:
What are some approaches to do this? Any ideas?
The scene is static. Somewhere I saw a ...
- 973
0
votes
1
answer
45
views
Computer vision algorithms for binary classification of bird images
I want to start a project to detect if an image is a crow or not a crow (crow as in the black bird). Is this referred to as "binary classification?" If I wanted to use open source Python ...
0
votes
2
answers
40
views
How is the number of channels in a convolutional layer shrinked or expanded?
I know in order to shrink or expand the number of channels a 1x1 convolution is performed.
I need to clarify the following: is the 1x1 convolution(s) just a matrix multiplication between the image ...
- 101
0
votes
0
answers
17
views
is it possible to make use of classes of coco-pretrained weights on custom dataset just training on custom dataset?
I am trying to use detcetron2 panoptic_FPN and panoptic_deeplab models for optimization on custom dataset.
You might already now that coco has around 133 classes (both thing and stuff). And my custom ...
0
votes
0
answers
49
views
How can we implement specific face makeovers with Stable Diffusion?
I need suggestions on what should be the exact process to achieve this use case. I have seen tools like this but I am not sure how they are operating on the backend and which techniques and APIs are ...
- 1
0
votes
0
answers
32
views
Pyramid Vision Transformer V2: Complexity of spacial reduction attention (SRA)
I'm currently reading the paper PVT v2: Improved Baselines with Pyramid Vision Transformer, where the authors improve a transformer architecture that can be used as a backbone for multiple computer ...
- 101
0
votes
1
answer
48
views
What is "Extra Supervision"?
I am reading Retinaface paper,
RetinaFace: Single-stage Dense Face Localisation in the Wild
Jiankang Deng, Jia Guo, Yuxiang Zhou, Jinke Yu, Irene Kotsia, Stefanos Zafeiriou
link: https://arxiv.org/abs/...
- 3
1
vote
0
answers
17
views
Failing to train and avoid overfit on noisy training data
I have added some Gaussian noise to CIFAR10 training and test set. I am using VGG16 and ResNet34 as the model to be used for training.
Under normal training conditions, where the standard CIFAR10 is ...
- 11
0
votes
0
answers
34
views
0
votes
0
answers
12
views
Connecting Human poses with BB
I am trying to estimate the crossing patterns of pedestrians based on their poses. I have a large dataset that contains videos named JAAD dataset. I want to make a prediction of the crossing based on ...
- 1
0
votes
0
answers
9
views
Are image classification nets independent of input size ? Which ones?
Most models I have seen have a dense layer at the exit of the network with a softmax function or a relu sometimes, so I thought this was confusing:
The major hurdle for going from image ...
- 101