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Aggregated Text Transformer for Scene Text Detection
We present the Aggregated Text TRansformer(ATTR), which is designed to represent texts in scene images with a multi-scale self-attention mechanism.
Progressive Scene Text Erasing with Self-Supervision
Scene text erasing seeks to erase text contents from scene images and current state-of-the-art text erasing models are trained on large-scale synthetic data.
Document Layout Analysis with Aesthetic-Guided Image Augmentation
To measure the proposed image layer modeling method, we propose a manually-labeled non-Manhattan layout fine-grained segmentation dataset named FPD.
Detecting Curve Text with Local Segmentation Network and Curve Connection
Curve text or arbitrary shape text is very common in real-world scenarios.
Leveraging Long and Short-term Information in Content-aware Movie Recommendation
In the adversarial process, we train a generator as an agent of reinforcement learning which recommends the next movie to a user sequentially.
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