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Questions tagged [computer-vision]

For questions about the application/possible applications of Machine Learning methods and Artificial Intelligence algorithms in the field of computer vision.

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Super resolution of an object in a video using adjacent frames

Video frames super-resolution with deep learning? I've been searching for the whole day and could find no papers\projects tackling that problem. For example: suppose I have a series of N frames of ...
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14 views

Estimate distance between points in perspective image

I am trying to estimate the real world distance (in metres) between two points in a perspective image using an uncalibrated camera. However, the dimensions of an object in the image are known. I ...
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Bigger receptive field

I have a network which has a input size of (28x28x1) and since I'm using (3x3 convolution) so the receptive field is (3x3). Before going further I will show the code snippet ...
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15 views

Can we use Autoencoders for unsupervised CNN feature learning?

I searched through the internet but couldn't find a reliable article that answers this question. Can we use Autoencoders for unsupervised CNN feature learning of unlabeled images like the below and ...
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1answer
118 views

Object IN/OUT counting using CNN+RNN

I am building a video analytics program for counting moving things in a video. I am detecting bicycles and nothing else. I run object detection using the SSD mobile-net model in all the frames and ...
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19 views

Transposed convolution as upsampling in DCGAN

I read several papers and articles where it is suggested that transposed convolution with 2 strides is better than upsampling then convolution. However implementing such model with the transposed ...
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1answer
45 views

Name of paper for encoding/representing XY coordinates in deep learning

It this podcast between Oriol Vinyals and Lex Friedman: https://youtu.be/Kedt2or9xlo?t=1769, at 29:29, Oriol Vinyals refers to a paper: If you look at research in computer vision where it makes a ...
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7 views

Is there any other rotated object detection datasets?

I have googled for a long time for rotated object detection datasets. Most of papers focused on rotated object detection using DOTA, HRSC2016 or coco text detection dataset. Some researcher also ...
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33 views

How do I denoize a microscopic image?

I'm working in a computer vision project, where the goal is to detect some specific parasites, but now that I have the images, I noticed that they have a watermark that specifies the microscope ...
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2answers
103 views

Which loss function is the brain optimizing in order to learn advanced visual skills without expert/human supervision?

In computer vision is very common to use supervised tasks, where datasets have to be manually annotated by humans. Some examples are object classification (class labels), detection (bounding boxes) ...
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2answers
85 views

Do we also need to model a probability distribution for the decoder of a VAE?

I'm working on understanding VAEs, mostly through video lectures of Stanford cs231n, in particular lecture 13 tackles on this topic and I think I have a good theoretical grasp. However, when looking ...
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2answers
47 views

Detecting abnormalities in x-rays while taking into account demographics of a patient -automated

This is my first post so please forgive me for any mistakes. I am working on an object detection algorithm that can detect abnormalities in an x-ray. As a prototype, I will be using yolov3 (more ...
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14 views

Next step after lane detection in vehicle automation

I have an RC car with a camera, I have implemented so that i can detect lanes on my track (think like a nascar track). I want to get this car to be able to go around the track autonomous. But I am ...
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23 views

YOLO v3 complete architecture

I am attempting to implement YOLO v3 in Tensorflow-Keras from scratch, with the aim of training my own model on a custom dataset. By that, I mean without using pretrained weights. I have gone through ...
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14 views

Image-Specific Class Saliency Visualisation

In the paper "Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps", https://arxiv.org/abs/1312.6034, at part 3, there is a first-order Taylor expansion(...
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17 views

Live video object detection with pose estimation

I was researching about hierarchical object detection, and end up reading that Yolo v3 is the state of art for that kind of tasks, besides, the inference time make it one of the best for run it on ...
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16 views

how to work with multi-labels or two inputs and a output

I’m in this problem and haven’t found a sound solution to it. Been like 20 days now. I have a dataset that looks like this: ...
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What are the reference papers of image captioning model 'all_img', 'att2in2', 'adaattmo' and 'topdown'?

I Want to cite the reference paper of The models appeared in this webpage: https://github.com/ruotianluo/ImageCaptioning.pytorch/blob/master/models/init.py But which papers do these four models '...
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1answer
27 views

How could we estimate the square footage of a room from an image?

I wonder if it would be possible to know the size of a room using image, I don't see anything about this subject, do you have some idea how it could be done?
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27 views

Siamese Network for unknown object

I am currently trying to create a One-Shot network using the Siamese architecture for an object that isn't a face. My problem is, in normal Face Recognition the detecting gadget (e.g. Smartphone) ...
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2answers
93 views

Why does a fully connected layer only accept a fixed input size?

I'm studying how SPP (Spatial, Pyramid, Pooling) works. SPP was invented to tackle the fix input image size in CNN. According to the original paper https://arxiv.org/pdf/1406.4729.pdf, the authors say:...
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20 views

Calculating tangent vector of curve s(P,$\alpha$) at given point $\alpha$ = 0

I am reading the paper "Transformation Invariance in Pattern Recognition – Tangent Distance and Tangent Propagation", where the tangent vector is calculated for the given curve $s(P,\alpha)$ at $\...
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24 views

Presence of object (highly occluded vehicle) in a scene

How to detect presence of object (highly occluded) in a scene? There are specific features (small patterns, etc), which allow to say that object is present, but it is not enough for detection for ...
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22 views

Why is the learning rate is already very small (1e-05) while the model convergences too fast?

I am training a video prediction model. According to the loss plots, the model convergences very fast while the final loss is not small enough and the generation is not good. Actually, I have test ...
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2answers
130 views

Find object location (x, y) in an image

I am generating images that consist of points where the object's location is where the most overlap of points occurs. In this example, the object location is (25, 51). I am trying to train a model to ...
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2answers
40 views

Approach to classify a photo and extract text from it

I am trying to make a personal ML project where my objective is using a photo from an invoice, for instance, a Walmart invoice, classify it as being a Walmart invoice and extract the total amount ...
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41 views

Tensorflow : Inception V3 Transfer Learning Parameter Tuning

Sorry if my question is at the wrong place, I'm new in this community. So, I have dataset with total of 1 million images (augmented) that separated in 28 classes. I followed this tutorial https://www....
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2answers
121 views

I need to predict ball position from set of Images

I am a novice developer in AI. Any help appropriated. I have a set of images and from that I want to predict position(x,y co-ordinates) of the Ball. Thanks in advance.
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1answer
53 views

Appropriateness of 3D Convolutional Neural Network for segmentation of medical image data

I have a couple different segmentation tasks that I would like to perform on medical imaging data using CNN's. I'm currently trying to wrap my head around how well a 3D network might work, using a U-...
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28 views

Image Segmentation Prediction with cropping 256x256 grids is very slow

I have only a limited dataset (<25) with large-sized images (>1500x2000) and their pixelwise labels. The aim is to find unusual patterns in this industry dataset and highlight them. To generate ...
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2answers
90 views

How to approach this handwritten digit recognition?

I have multiple pictures that look exactly like the one below this text. I'm trying to train CNN to read the digits for me. Problem is isolating the digits. They ...
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0answers
8 views

Which Domain specific language are available for Mocap?

Motion capture (Mocap) is about recording human motions in 3d space. In most cases, a marker based tracking is used, but some newer development goes into markerless capture. The result of the mocap ...
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2answers
51 views

Can I detect unique people in a video?

I am having a video feed with multiple faces in it. I need to detect each face and the gender as well and assign the gender against each person. I am not sure how to uniquely identify a face as Face1 ...
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1answer
85 views

possible to train some model to recognize trash?

I want to build a semi autonomous robot/machine that will clean up trash in cities. For this to be possible it needs to recognize 'trash'. As trash can be all sorts of things (think ciggaret buts, ...
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2answers
630 views

Which AI tool for food recognition?

I'm working in a company that opens restaurants in enterprises. Every day at lunch, we want our clients to be able to scan their trays, sothat the food is detected automatically thanks to AI / image ...
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2answers
199 views

Point A to B Avoidance

I understand A* and Dijkstra for avoiding obstacles, they require that points are traversable there are points that are not traversable thus the algorithms wont bump into the obstacles because the ...
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1answer
71 views

Are Computer Vision and Digital Image Processing part of Artificial Intelligence?

There are some fields of Computer Vision that are similar to Artificial Intelligence. For example, pattern recognition and path tracking. Based on these similarities, can we say that the Computer ...
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1answer
47 views

Why is Information Filter called Information Filter?

We all know Information Filter is a dual representation of Kalman Filter. The main difference between Information Filter and Kalman Filter is the way the Gaussian belief is represented. In Kalman ...
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17 views

Is there any deep learning object detection algorithms that can work without bounding boxes annotated data?

For example Haar Cascade can be trained using only positive and negative examples, you don't need any bounding box annotations. But it not a deep learning approach. Another example can be the most ...
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1answer
61 views

What is a good descriptor for similar objects?

I am developing an image search engine. The engine is meant to retrieve wrist watches based on the input of the user. I am using SIFT descriptors to index the elements in the database and applying ...
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17 views

How exactly is equivariance achieved in capsule networks?

I have read quite a lot about capsule networks but cannot understand how the squashed vector would also rotate in response to rotation or translation of the image.A simple example would be helpful.I ...
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15 views

input annotations quality check for large scale image data

while dealing with image data at very large scale, there are different sources where data is coming from. Often, we do not have any control over quality of labels/ annotations. I already do use ...
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1answer
242 views

Neural Network for Optical Mark Recognition?

I've created a neural net using the ConvNetSharp library which has 3 fully connected hidden layers. The first having 35 neurons and the other two having 25 neurons each, each layer with a ReLU layer ...
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1answer
66 views

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 ...
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Good papers for implementing as project of computer vision course

I'm a student of Artificial Intelligence. This semester I've Computer Vision course. We should select a topic related to intelligent vehicles and read several papers and implement one of those paper. ...
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1answer
71 views

How do I segment each part of a DICOM image?

As I'm beginner in image processing, I am having difficulty in segmenting all the parts in DICOM image. Currently, I'm applying watershed algorithm, but it segments only that part that has tumour. ...
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2answers
87 views

What are applications of object/human tracking in autonomous cars?

Objects tracking is finding the trajectory of each object in consecutive frames. Human tracking is a subset of object tracking which just considers humans. I've seen many papers that divide tracking ...
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2answers
343 views

How to architect a network to find bounding boxes in simple images

I have an application where I want to find the locations of objects on a simple, relatively constant background (fixed camera angle, etc). For investigative purposes I've created a test dataset which ...
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1answer
907 views

Counting people in an image of a crowd

What are some good approaches that I can use to count the no. of people in a crowd. Tracking each person individually is obviously not an option. Any good approaches or some references to research ...