Adaptive Bezier-Curve Network

What is ABCNet? ABCNet, also known as Adaptive Bezier-Curve Network, is an innovative framework created for spotting text in any shape, size or form. The framework uses a unique approach by adaptively fitting arbitrary-shaped text using a parameterized bezier curve, which calculates convolutional features of text instances in curved shapes. The features are then passed through a lightweight recognition head for quick and accurate analysis of the text. How Does ABCNet Work? The ABCNet framewo

Point Gathering Network

PGNet is a revolutionary new technology that allows for the reading of text in real-time, regardless of its shape or orientation. This single-shot text spotter is able to learn a pixel-level character classification map without the use of character-level annotations, thanks to the proposed PG-CTC loss. This not only makes the process more efficient, but eliminates the need for NMS and RoI operations. The Benefits of PGNet One of the most significant benefits of PGNet is its ability to efficie

Semantic Reasoning Network

A semantic reasoning network, or SRN, is a framework designed for scene text recognition that is composed of four components. Backbone Network The backbone network is responsible for extracting 2D features from an input image, which are then used to generate 1-D features by the PVAM module. Parallel Visual Attention Module (PVAM) The PVAM module generates N aligned 1-D features G, where each feature corresponds to a character in the text and captures the aligned visual information. This me

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