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A high-altitude image target detection method based on RT-DETR
Pending
CN122416264A
Achieve precise screening
Avoid vanishing gradients
Feature extraction
Data set
本发明属于计算机视觉领域,公开一种基于改进RT‑DETR架构的高空图像目标检测方法。首先获取并预处理航拍图像数据集,构建AIR‑DETR模型,将图像输入后依次完成特征提取、融合、上采样增强与目标预测,输出检测结果,并在训练环境中通过训练集与验证集完成模型训练与验证。该模型由骨干网络MAFNet、特征融合模块GC3Block、上采样模块FGAD及混合解码器构成。MAFNet通过通道压缩、多分支深度可分离卷积、自适应融合与残差调制,实现多尺度特征建模;GC3Block基于门控机制实现多层特征选择性融合,减少冗余;FGAD通过焦点引导自适应上采样,实现低分辨率特征的精细恢复。该方法有效提升复杂高空场景中小目标、遮挡及尺度变化目标的检测精度与适应性。
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Owner:
CHINA UNIV OF PETROLEUM (EAST CHINA)
Method and apparatus for emotion recognition of speech information
Active
CN115881163B
Improve computing efficiency
Easy to detect
Speech analysis
Feature Dimension
Feature set
Embodiments of the present application provide a kind of sentiment recognition method and device of voice information.The method is to a few
minority class
voice
feature set
Random
oversampling
processing
, and the
minority class
voice
feature set
after
processing
is merged with
majority class
voice
feature set
, obtains target voice feature set;According to inverse order
selection algorithm
, the voice feature in target voice feature set is selected, and the voice feature selected is constituted candidate feature set;The voice feature in candidate feature set is input into classifier, obtains the voice emotion category of voice information, and the embodiments of the present application avoid the
decision rule
that model learns from
unbalanced data
is too much inclined to
majority class
sample, still can select optimal candidate feature set by the
correlation analysis
between features, reduce the
feature dimension
of initial target voice feature set, improve the computing efficiency of model, and improve the
detection performance
of model.
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Owner:
CHINA TELECOM CORP LTD
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