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Questions tagged [bounding-box]

For questions related to the concept of a bounding box in object detection or other computer vision tasks.

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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
41 views

How to calculate CIoU or DIoU loss only for certain unmasked boxes in tensor and ignore the masked values?

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Amish Agrawal's user avatar
1 vote
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82 views

How do transformers compare to CNNs in terms of compute budget (and computing time) during inference?

Transformers are data and GPU hungry during training. Is this also true at inference time? How do transformers compare to feedforward CNNs e.g., during bounding box generation at inference time? I ...
Mariusmarten's user avatar
1 vote
1 answer
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Is there a state-of-the-art deep learning paper that uses center point regression instead of bounding box regression, for object tracking?

Almost all deep learning based object tracking methods perform bounding box regression. Siamese-based networks which are very popular for object tracking also perform bounding box regression most of ...
Code Of Duty's user avatar
2 votes
1 answer
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How does YOLO detect the object when the object is in multiple grid cells?

I have been reading various articles and watching videos on YouTube, but I can't seem to understand one thing. How does YOLO make a bounding box for an object if it is in multiple grid cells? For ...
Sharjeel M. Rajput's user avatar
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1 answer
143 views

Why is it called "area of union" when calculating the Intersection over Union?

When calculating the Intersection Over Union the following explanation is widely used. (Source: A Survey on Performance Metrics for Object-Detection Algorithms, by Padilla et al. 2020) The image and ...
Skid's user avatar
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3 votes
1 answer
476 views

YOLO - are the anchor boxes used only in training?

another question in YOLO. I've red about how YOLO adjusts anchor boxes by offsets to create the final bounding boxes. What I do not understand, is when YOLO does it. Is it being done only during the ...
Igor's user avatar
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2 votes
1 answer
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How does a bounding box detection network "know" about absolute position?

I've always found bounding box regression a bit weird. There's no positional encoding like in vision transformers, so how does the network "know" the absolute position when producing ...
Alexander Soare's user avatar
1 vote
0 answers
86 views

Different equations for Yolov3 in courses/ articles and Darknet GitHub code?

I am confused by the equations for bounding boxes I find online. Some articles say that box_width = anchor_width * exp(residual_value_of_box_width)) and the ...
shikhar97gupta's user avatar
1 vote
1 answer
406 views

Why do the object detection networks produce multiple anchor boxes per location?

In various neural network detection pipelines, the detection works as follows: One processes the input image through the pretrained backbone Some additional convolutional layers The detection head, ...
spiridon_the_sun_rotator's user avatar
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2 answers
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How to understand the common practices followed for writing a "bounding box" for an image in datasets?

For the image datasets, there may be a bounding box for each image at the dataset. It is an annotation for an image. It is a rectangular box intended for focusing on something inside the image. I read ...
hanugm's user avatar
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Bounding Box Regression - An Adventure in Failure [closed]

I've solved many problems with neural networks, but rarely work with images. I have about 18 hours into creating a bounding box regression network and it continues to utterly fail. With some loss ...
David Hoelzer's user avatar
5 votes
4 answers
671 views

Can bounding boxes further improve the performance of a CNN classifier?

Suppose I have a standard image classification problem (i.e. CNN is shown a single image and predicts a single classification for it). If I were to use bounding boxes to surround the target image (i.e....
user4779's user avatar
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7 votes
2 answers
2k views

What's the role of bounding boxes in object detection?

I'm quite new to the field of computer vision and was wondering what are the purposes of having the boundary boxes in object detection. Obviously, it shows where the detected object is, and using a ...
Cody Chung's user avatar
2 votes
2 answers
807 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 that ...
Daniel's user avatar
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2 votes
1 answer
781 views

How are IOUs for ground truth boxes in YOLO calculated?

I know how IOU works during detection. However, while preparing targets from ground-truth for training, how is the IOU between a given object and all anchor boxes calculated? Is the ground truth ...
nivter's user avatar
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