2026-09-18T17:56:46Zhttps://api.mountainscholar.org/server/oai/request

oai:mountainscholar.org:10217/2336872025-12-30T03:41:07Zcom_10217_100532com_10217_100000com_10217_100388com_10217_100303col_10217_182111col_10217_100389

Shastri, Viraj, author Beveridge, J. Ross, advisor Blanchard, Nathaniel, committee member Peterson, Christopher, committee member 2021-09-06T10:24:26Z 2021-09-06T10:24:26Z 2021 Shastri_colostate_0053N_16615.pdf https://hdl.handle.net/10217/233687 https://doi.org/10.25675/3.02595 In this work, we tackle the question: Can neural networks count? More precisely, given an input image with a certain number of objects, can a neural network tell how many are there? To study this, we create a synthetic dataset consisting of black and white images with variable numbers of white triangles on a black background, oriented right-side up, down, left or right. We train a network to count the right-side up triangles; specifically, we see this as a closed-set classification problem where the class is the number of right-side up triangles in the image. These evaluations show that our networks, even in their simplest designs, are able to count a particular object in an image with a very small epsilon of approximation. We conclude that the neural networks are enforced with more complex learning capabilities than given credit for. born digital masters theses English eng Colorado State University. Libraries 2020- Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. convolutional neural network visual learning feature representations closed-set counting Counting with convolutional neural networks Text Master of Science (M.S.) Masters Computer Science Colorado State University This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). open.access