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Published 20 hours ago • verified publisher icon wushuang01
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Retinanet impelemented by Pytorch : 69.0 mAP on VOC2007 test.

Train RetinaNet with Focal Loss in PyTorch.

Reference:
[1] Focal Loss for Dense Object Detection

Imporvements:

Add the eval.py to calculate mAP on VOC.

Support batch_size>1 during test.

Add the produce_txt.py to produce train.txt and val.txt for voc data.

Results: mAP: 69.0 points on VOC2007_trainval datasets.

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Retinanet impelemented by Pytorch : 69.0 mAP on VOC2007 test.

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