3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets-Reference-Cited by-同舟云学术

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3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets

Published:2023-10-01 Issue: Volume:29 Page:9297-9307
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Cheng Ta-Ying¹,Gadelha Matheus²,Pirk Sören²,Groueix Thibault²,Mĕch Radomír²,Markham Andrew¹,Trigoni Niki¹

Affiliation:

1. University of Oxford

2. Adobe Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377691.pdf?arnumber=10377691

Reference69 articles.

1. Building Rome in a day

2. Deep vit features as dense visual descriptors;Amir,2021

3. A ransac-based approach to model fitting and its application to finding cylinders in range data;Bolles

4. Emerging Properties in Self-Supervised Vision Transformers

5. ShapeNet: An information-rich 3D model repository;Chang,2015

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