Few-shot Shape Recognition by Learning Deep Shape-aware Features-Reference-Cited by-同舟云学术

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Few-shot Shape Recognition by Learning Deep Shape-aware Features

Published:2024-01-03 Issue: Volume: Page:
ISSN:
Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
language:
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Author:

Shi Wenlong¹,Lu Changsheng²,Shao Ming³,Zhang Yinjie¹,Xia Siyu¹,Koniusz Piotr²

Affiliation:

1. Southeast University,School of Automation

2. The Australian National University

3. University of Massachusetts,Dartmouth

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10483279/10483282/10484321.pdf?arnumber=10484321

Reference87 articles.

1. Binary shape classification using convolutional neural networks;Agh Atabay;IIOAB J,2016

2. A convolutional neural network with a new architecture applied on leaf classification;Agh Atabay;IIOAB J,2016

3. Using phase to represent radius in the coherent circle hough transform;Atherton,1993

4. A novel dataset for keypoint detection of quadruped animals from images;Banik,2021

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