- Task 1 - Hierarchical Detection on Test Set - Method: DeepSE hierarchical detection model
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method: DeepSE hierarchical detection model2023-04-02
Authors: Qingwen Bu, Yichuan Cheng, Minbin Huang
Affiliation: DeepSE X Upstage HK
Description: We fundamentally use DBNet as the scene text detector. We leverage oCLIP pretrained Swin Transformer-Base model as the backbone to directly predict at three different levels. Following DBNet, we employ Balanced Cross-Entropy for binary map and L1 loss for threshold map. We further fine tune the model with lovasz loss for finer localization.