This is a PyTorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector (paper).

July 10, 2017 - Abstract page for arXiv paper 1704.03155: EAST: An Efficient and Accurate Scene Text Detector

ate steps such as candidate proposal, text region formation · and word partition. The post-processing steps only include · thresholding and NMS on predicted geometric shapes. The · detector is named as EAST, since it is an Efficient and · Accuracy Scene Text detection pipeline.

April 11, 2017 - ... With a ResNet-18 backbone, DB achieves an F-measure of 82.8% at 62 FPS on the MSRA-TD500 dataset, and further improves accuracy when using deeper backbones. Compared to alternative approaches such as EAST · [18], TextSnake [19], or PSENet, DB offers a favorable balance of detection accuracy, computational efficiency, and implementation simplicity.

October 19, 2021 - EAST makes use of a single neural network for the detection of text in a natural scene and gives the output as a quadrilateral shape in the text. It uses Non-Max Suppression (NMS) along with Convolutional Network.

This is a PyTorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector (CVPR 2017).

March 27, 2020 - In this sixth installment of my ... Text Detection) and as the name suggests it is not just accurate but much more efficient in comparison with its text detector counterparts....

This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector. - songdejia/EAST

December 5, 2024 - The EAST pipeline is capable of predicting words and lines of text at arbitrary orientations on 720p images, and furthermore, can run at 13 FPS, according to the authors. Perhaps most importantly, since the deep learning model is end-to-end, ...

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Previous approaches for scene text detection have already achieved promising performances across various benchmarks. However, they usually fall short when dealing with challenging scenarios, even when equipped with deep neural network models, because the overall performance is determined by the interplay of multiple stages and components in the pipelines.

April 4, 2021 - The EAST algorithm uses a single neural network to predict a word or line-level text. It can detect text in arbitrary orientation with quadrilateral shapes. In 2017 this algorithm outperformed state of the art methods.

January 30, 2025 - This research focuses on implementing and evaluating the Efficient and Accurate Scene Text Detector (EAST) algorithm for text detection and recognition in natural scene images. The study aims to compare the performance of three prominent Optical Character Recognition (OCR) techniques—Tes...

July 1, 2017 - To address these challenges, this ... (ETV). ETV combines the OCR capabilities of Tesseract with the efficient and accurate scene text detector (EAST) algorithm, supplemented by nonmaximum suppression (NMS)....

"EAST: An Efficient and Accurate Scene Text Detector," In IEEE

This paper proposes an efficient and accurate arbitrary-shaped text detector, termed Pixel Aggregation Network (PAN), which is equipped with a low computational-cost segmentation head and a learnable post-processing.Expand ...

March 1, 2024 - We have presented a scene text detector that directly produces word or line level predictions from full images with a single neural network. By incorporating proper loss functions, the detector can predict either rotated rectangles or quadrangles ...

This is a PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector.

This is a tensorflow re-implementation of EAST: An Efficient and Accurate Scene Text Detector.

EAST (Efficient and Accurate Scene Text) detector simplifies this workflow by deploying a single neural network to directly predict text in full images.