Skip to main content
Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Code code:"if (foo != bar)"
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Saves in:saves
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with
Search options not deleted user 46718

For questions about convolutional neural networks, also known as CNN or ConvNet.

1 vote
Accepted

YOLO - does the Intersection over Union is actually a part of Non Maximum Suppresion

IoU is way to measure how much two areas overlap. As said in the comments IoU is used as a threshold parameter for NMS, so You could decide how much common space two areas have to have to be considere …
MASTER OF CODE's user avatar
0 votes
0 answers
277 views

How to colorize images with Variational Autoencoder?

CONTEXT I'm trying to colorize images with Variational Autoencoder. Input is 256x256 gray image. Output is 256x256x2 as I convert image to a LAB color space and then put gray channel as input and othe …
3 votes
1 answer
791 views

In a Temporal Convolutional Network, how is the receptive field different from the input size?

I'm playing around with TCN's lately and I don't understand one thing. How is the receptive field different from the input size? I think that the receptive field is the time window that TCN considers …