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qizhi_hgd_zyh 058d4f9d2b | 3 years ago | |
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images | 3 years ago | |
nts_net | 3 years ago | |
.gitignore | 3 years ago | |
LICENSE | 3 years ago | |
README.md | 3 years ago | |
bird_classes.py | 3 years ago | |
example.py | 3 years ago | |
hubconf.py | 3 years ago | |
ntsnet_train.py | 3 years ago | |
requirements.txt | 3 years ago | |
test.py | 3 years ago | |
test_model.py | 3 years ago | |
test_ntsnet.py | 3 years ago |
A pretrained ntsnet
net = netsnet(pretrained=True, **{'topN': 6, 'device':'cpu', 'num_classes': 200})
You can read the full paper at this link.
@INPROCEEDINGS{Gallo:2019:IVCNZ,
author={Nawaz, Shah and Calefati, Alessandro and Caraffini, Moreno and Landro, Nicola and Gallo, Ignazio},
booktitle={2019 International Conference on Image and Vision Computing New Zealand (IVCNZ 2019)},
title={Are These Birds Similar: Learning Branched Networks for Fine-grained Representations},
year={2019},
month={Dec},
}
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