相关实验视频
Updated: Jul 23, 2025

04:48
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
Published on: July 5, 2024
442
SY-Net:一种基于六层特征融合网络和并行预测头结构的米种实例细分方法
Sheng Ye1, Weihua Liu1, Shan Zeng2
1School of Electric & Electronic Engineering, Wuhan Polytechnic University, Wuhan 430023, China.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
为了质量检测,SY-net精确地对大米种子进行细分. 这个新的网络提高了识别单个米粒的效率和精度,即使是小米粒.
科学领域:
- 农业工程 农业工程
- 计算机视觉 计算机视觉
- 图像处理 图像处理
背景情况:
- 准确的米种细分对于质量测试至关重要.
- 挑战包括类似的种子特性,小尺寸和密集的分布.
- 现有的方法在复杂的水种子样本中难以精确地对准目标细分.
研究的目的:
- 提出SY-net,一个用于精确种实例细分的新型网络.
- 为了增强特征提取,融合和面具生成,以提高准确性.
- 评估SY-net在公共和私人大米种子数据集上的表现.
主要方法:
- 开发了四个模块的SY-net:特征提取器,特征金字塔融合,预测头和原型面具生成.
- 使用了变压器骨干来增强功能学习.
- 实施了六层特征融合网络和并行预测头.
- 采用大型功能地图来生成高质量的口罩.
主要成果:
- 在一个私人大米种子数据集上,SY-net实现了90.71%的平均精度 (mAP).
- 在COCO2017数据集中,小目标的平均精度 (AP) 证明为16.5%.
- 显著提高了大米种子细分的效率.
结论:
- SY-net为大米种子实例细分提供了一个强大的解决方案.
- 该网络显示了在自动化大米质量测试中应用的巨大潜力.
- SY-net有效地解决了小而密集的米种子所带来的挑战.
相关概念视频
Parallel Processing
182
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
182
End Point Prediction: Gran Plot
386
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
For potentiometric titration, the Gran plot is created by plotting...
386
Sequence Networks of Rotating Machines
125
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
125
Neural Circuits
1.3K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.3K
Per-Unit Sequence Models
98
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
98
RNA-seq
10.1K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.1K

