S3INet:,

概括

本研究介绍了用于检测任意形状文本的语义信息空间共享交互网络 (S3INet). 在各种数据集中,S3INet显著提高了文本检测的准确性和稳定性.

相关概念视频

VSEPR Theory and the Basic Shapes02:52

VSEPR Theory and the Basic Shapes

Overview of VSEPR Theory
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State Space Representation01:27

State Space Representation

The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
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Molecular Shape and Polarity03:37

Molecular Shape and Polarity

Dipole Moment of a Molecule
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Molecular Shapes01:18

Molecular Shapes

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Two regions of electron density in a diatomic...
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Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

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Association Areas of the Cortex01:21

Association Areas of the Cortex

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Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
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