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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.

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Fuse Feature Vector in image classification?

Currently, i'm processing a image classification problem about facial emotional classification. I am using 2 extract methods: HOG and Facial Landmark. My idea is using HOG to find the gradient ...
Phan Phước's user avatar
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0 answers
23 views

GPT Vision vs OCR & GPT text [closed]

I’m using GPT4 to create calendar events from a screenshot of a conversation. What’s better: Use GPT with vision and prompt Use OCR to pull out all text and then use a GPT text model
DD.'s user avatar
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1 vote
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Can a transformer detect same object with different sizes?

Suppose a vision transformer has trained to detect this cat picture Next we show it another picture of a zoomed-in cat (taken from the same image) and asked it to identify the picture The linearized ...
James's user avatar
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1 vote
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32 views

Improve Performance of License Plate Recognition using EasyOCR

I wish to extract the license-plate text from images using EasyOCR. I am obtaining license-plate images from a 2MP camera's stream placed atop traffic light poles. ...
Rishi Sharma's user avatar
2 votes
1 answer
53 views

Is there an algorithm capable of telling knots and links apart?

I'd like to create some algorithm that can tell apart knots from links. A knot is made up of one line, a link with multiple. As input, we expect images as above. Is there an algorithm capable of ...
Csaba Daniel Farkaš's user avatar
1 vote
1 answer
24 views

Can the output of non-max suppression have more bounding boxes than the number of objects the picture actually has?

I am not really understanding the non-max supression (NMS) algorithm. Let's say my model produces 20 bounding boxes (bbs) for my picture which have 7 cats (7 objects with the same class). Can it be ...
hachane's user avatar
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0 answers
13 views

Can 3D convolutions appropriately capture a frozen embedding space?

My project is a strange combination of NLP and Computer Vision. I have datapoints of 3D tensor where each element is a token in an NLP vocabulary. The vocabulary is around 1000 unique "words"...
schmixi's user avatar
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35 views

Realtime cuboid vs cylinder classification of a 2D mask / object from a 3D scene?

Most realtime SOTA segmentation/detection model can reliably segment an object from a 2D input, and I can get the contours/polylines describing its edges in realtime. By realtime, I'll consider ...
Filip Dimitrovski's user avatar
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14 views

Why does UNet often output noisy pattern in blank/homogeneous region?

I am recently implementing DDPM model from scratch, and I discovered that UNet often tends to give noisy output in blank region. Here is an example with FashionMNIST, my DDPM seems to generate OK ...
Dibbla's user avatar
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0 answers
23 views

Good models for building/tree detection

I need to estimate the speed of a car by analysing a dashcam video that provides a view of the street in front. I had the idea of tracking objects that I know are stationary (buildings/trees) and ...
Patrick's user avatar
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34 views

Trained model on cifar10 performs poorly on real images

So I'm trying to train a model using the CIFAR10 dataset. The problem is that while the performance of the model on validation and test sets are good (about 95-96%), the model fails to predict images ...
AlbertDang's user avatar
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2 answers
1k views

Why different noise in GAN generate different images?

I understand that noise $z$ serves as the input to the generator. Noise $z$ is essentially a vector of random numbers, typically from Gaussian distribution with chosen size of like $100$. However, I ...
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1 answer
28 views

Image segmentation with noisy labels

I have a dataset which consists of satellite images and their labels which are indicated by let say class 1 and 2. I want to perform image segmentation to detect pixels related to class 1 and 2. The ...
Carol's user avatar
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1 vote
0 answers
279 views

Glass Degradation Video Prediction

We are working on the subject above, where a sequence of $n$ glass frames forms an example with an associate target that is a video of the glass future state. We would like to know if there exists an ...
Filippo Portera's user avatar
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15 views

Enhancing Soil Moisture Predictions Using Multimodal Data Integration in Agriculture

I am exploring an interdisciplinary research area involving multimodal data, focusing on agriculture. My study incorporates both visual and tabular data: crop and soil images from three distinct ...
Md Rakib's user avatar
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1 answer
26 views

KD-loss between intermediate feature maps of different channels

Assume a teacher model and a student model. Teacher is bigger than student in terms of depth and/or width, however, comes from the same "family". In addition to the loss that involves the ...
Natan ZB's user avatar
1 vote
1 answer
123 views

Marking object on a map from the image

I have been researching if there are any existing machine learning models that would help mark objects (for example: cars) on the map having only image, camera location, and camera orientation. For ...
user3500960's user avatar
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adversarial training on convnext shows a very strange curve

i am currently working on a research project where I have to train some models for adversarial robustness. I have implemented the algorithm used by a research paper called adversarial training for ...
M Akrm's user avatar
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1 vote
0 answers
65 views

SOTA model (PAtt-lite) implementation with Pytorch [closed]

I'm trying to implement a model guided by the paper of PAtt-lite (weights are on https://github.com/jlrex/patt-lite but no implementation provided yet). Using FER2013+ and RAF-DB. The main classes I'...
Robert's user avatar
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1 vote
0 answers
42 views

Classifying Images that Look Like Noise

I'm about to build a system that is supposed to evaluate images (900 x 150) like the following and classify it in to one of five categories: image that looks like noise In case you're wondering, they'...
Ed Park's user avatar
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0 answers
8 views

How to estimate the weight of quarry material in a pile

A quarry wants to know the weight of materials they extract from the quarry. I was thinking they could use some computer vision to estimate the weight based on a 3D generated model of the quarry ...
Hex Heager's user avatar
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0 answers
12 views

Using computer vision to comprehend Piping and Instrumentation Diagrams

I'm wondering how to approach this problem. I want to create an excel document (or just a dictionary) where each instrument (circle objects FV 1031, for example) is associated with a line number (for ...
Daniel Caoili's user avatar
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0 answers
8 views

Can T-Net be substituted by data augmentation in the PointNet architecture?

I am looking at the PointNet architecture at I was wondering why T-Net was preferred over data augmentation. Correct me if I am wrong, but I think of T-Net as trying to find a transformation that will ...
ado sar's user avatar
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0 answers
9 views

How to calibrate IMU for large scale deployments possibly using deep neural network

We were testing our visual SLAM algorithm on robots. We were getting poor performance. Then we calculated wite noise and random walk parameters (using kalibr) for the IMU and used it in our algorithm ...
Mahesha999's user avatar
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57 views

How does the Yolo loss match bounding boxes to the ground truth?

I've been going over the YOLO paper again and I was wondering something about the loss. Yolo divides an image into grids and then for each grid can have multiple bounding boxes to detect multiple ...
Edan Patt's user avatar
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0 answers
16 views

What are efficient methods for classifying tremor intensity, given challenges with 3D CNN and memory issues with a pretrained VideoMAE model?

I have a training dataset of 80 videos (without augmentation). They are 15 seconds video recorded at 30fps and 240*480 dimensions. What options do I have to train a classification model? The problem ...
Ravideep Singh's user avatar
0 votes
1 answer
89 views

Handle overlapping objects in instance segmentation annotation

As I struggle to find any literature online about this, I wanted to create a discussion that other would be able to learn from. My question is inspired from a Yolo GitHub issue. In this example we ...
Timothee W's user avatar
2 votes
1 answer
59 views

In neural style transfer, why do we focus on a single style image?

In all the descriptions of neural style transfer that I've seen so far, there is a single style image and a single content image, and the task is to produce a new image with the style of one image and ...
A Kubiesa's user avatar
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0 votes
1 answer
72 views

Is global pooling necessary in image classification models? [closed]

In many image classification models, the global pooling operation is performed before the classification layer (i.e. fully connected layer) to reduce model complexity. Is the global pooling layer a ...
Liuji's user avatar
  • 19
2 votes
1 answer
82 views

does it make sense to consider the base/backbone network one of the multiscale feature map blocks in SSD?

I'm trying to understand Single Shot Multibox Detection following a book adopted at 500 universities from 70 countries The complete single shot multibox detection model consists of five blocks. The ...
singularli's user avatar
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0 answers
29 views

High Fluctuations in Validation Curve

Below I attach an image of accuracy curves. I got a lot of suggestions regarding some improvement in below curves. Following are my experiments in order to make the curve stable--> I used lr = 4....
Sarvagya Porwal's user avatar
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0 answers
84 views

ViT fails to detect a white pixel in a black image

I wanted to report you to some experiments in the context of Deep Learning for Computer Vision, in particular for visual reasoning. The main question I am trying to answer is the difference between ...
Fiorenzo Parascandolo's user avatar
1 vote
1 answer
80 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 ...
user avatar
1 vote
0 answers
160 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 ...
user avatar
0 votes
2 answers
135 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 ...
Krithik Roshan's user avatar
1 vote
2 answers
213 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 ...
user avatar
0 votes
1 answer
153 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 ...
Loris Simonetti's user avatar
0 votes
1 answer
59 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 ...
Kekai's user avatar
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0 votes
1 answer
265 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 ...
user avatar
0 votes
0 answers
13 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, ...
JJJohn's user avatar
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-2 votes
1 answer
62 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 ...
Escanor6's user avatar
0 votes
0 answers
11 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 ...
Below the Radar's user avatar
1 vote
0 answers
34 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....
JeanMi's user avatar
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1 vote
0 answers
28 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. ...
Souhaielrmx's user avatar
0 votes
0 answers
163 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 ...
Michael's user avatar
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0 votes
0 answers
19 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. ...
RajS's user avatar
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0 answers
12 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 ...
Liam F-A's user avatar
1 vote
1 answer
33 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 ...
Robert W's user avatar
  • 111
0 votes
0 answers
25 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 ...
user402016's user avatar
0 votes
0 answers
61 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 ...
Mary's user avatar
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