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fast-reid
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fast-reid/tests
Xingyu Liao 9b5af4166e
support repvgg (#429) 		3 years ago
..
__init__.py Update sampler code 4 years ago
dataset_test.py Update sampler code 4 years ago
feature_align.py add unitest for feature alignment 3 years ago
interp_test.py Update sampler code 4 years ago
lr_scheduler_test.py Update sampler code 4 years ago
model_test.py update version0.2 code 4 years ago
sampler_test.py Update strong baseline result 4 years ago
test_repvgg.py support repvgg (#429) 3 years ago
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该算法把样本聚类和特征学习融合到一个端到端的网络框架中，提升模型的跨域能力。该模型在Market训练，DukeMTMC上测试能达到82.0%的准确率，在DukeMTMC上训练，Market上测试能达到92.2%的准确率。

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