One-Shot Object Detection in Heterogeneous Artwork Datasets-Reference-Cited by-同舟云学术

One-Shot Object Detection in Heterogeneous Artwork Datasets

Published:2022-04-19 Issue: Volume: Page:
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Container-title:2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA)
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Author:

Madhu Prathmesh¹,Meyer Anna¹,Zinnen Mathias¹,Muhrenberg Lara²,Suckow Dirk³,Bendschus Torsten⁴,Reinhardt Corinna⁴,Bell Peter⁵,Verstegen Ute²,Kosti Ronak¹,Maier Andreas¹,Christlein Vincent¹

Affiliation:

1. Pattern Recognition Lab, Friedrich-Alexander-Universitat,Erlangen-Nürnberg,Germany

2. Friedrich-Alexander-Universitat,Chair of Christian Archaeology,Erlangen-Nürnberg,Germany

3. Institute of Art History, Friedrich-Alexander-Universitat,Erlangen-Nürnberg,Germany

4. Friedrich-Alexander-Universitat,Chair of Classical Archaeology,Erlangen-Nürnberg,Germany

5. Philipps University,German and Art Studies,Marburg,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9784103/9784113/09784141.pdf?arnumber=9784141

Reference16 articles.

1. Lstd: A low-shot transfer detector for object detection;chen;AAAI,0

2. Few-Shot Object Detection via Feature Reweighting

3. Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector

4. Non-local Neural Networks

5. Squeeze-and-Excitation Networks

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