Dec 16, 2019 · To tackle the above issues, we propose an Attention-based Bidirectional Long Short-Term Memory (AB-LSTM) model for scene text detection. First, ...
This project contains the following source files: model training and testing, text center block label and word stroke region label generation, label ...
Schematic overview of our proposed method. The input image is fed to two AB-LSTM models, which generate word stroke regions (WSRs) and text center blocks (TCBs) ...
Nov 23, 2021 · This research paper proposed a novel approach for scene text recognition that integrates bidirectional LSTM and deep convolution neural networks.
Compared with LSTM model, LSTM-attention model has higher accuracy. The mean ... AB-LSTM: Attention-based Bidirectional LSTM Model for Scene Text Detection.
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Oct 22, 2024 · This research paper proposed a novel approach for scene text recognition that integrates bidirectional LSTM and deep convolution neural networks ...
An attention-based bidirectional LSTM neural network (AB-BiLSTM) is proposed to solve the problem of sentiment analysis of short texts.
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Jul 3, 2023 · The principal functionality of this technology lies in transmuting the extracted visual features into semantic information of a higher order.
Apr 4, 2022 · Our proposed model uses the bidirectional LSTM to preserve the context in both directions and the attention mechanism to concentrate on more ...