不确定性意识变压器用于引用伪装物体检测.
概括
本研究引入了一个不确定性意识变压器 (UAT) 用于引用伪装物体检测 (Ref-COD). 通过利用视觉引用和建模预测不确定性来改善特征歧视,UAT有效地对伪装对象进行细分.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
背景情况:
- 引用伪装物体检测 (Ref-COD) 具有挑战性,因为目标和引用之间具有相似的背景和特征差异.
- 现有的方法很难有效地辨别伪装的物体,并整合视觉引用.
研究的目的:
- 提出一种新的不确定性意识变压器 (UAT),以提高Ref-COD性能.
- 为了应对在Ref-COD.中特征相似性和参考集成的挑战.
主要方法:
- 无人机使用交叉注意力机制,以将视觉引用与伪装特征对齐.
- 一个参考特征聚合 (RFA) 模块集成了针对性特征学习的参考信息.
- 变压器概率解码器 (TPD) 模型可能地补丁依赖性,以捕获不确定性意识的特征.
主要成果:
- 与最先进的方法相比,UAT在Ref-COD基准指标上表现优越.
- 该模型显示了传统伪装物体检测 (COD) 数据集的竞争性结果,表明了可扩展性.
结论:
- 拟议的UAT通过整合不确定性建模和参考指南,有效地应对Ref-COD的挑战.
- UAT为伪装物体检测任务提供了强大且可扩展的解决方案.
相关概念视频
Transformers with Off-Nominal Turns Ratios
213
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
213
Uncertainty: Overview
988
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
988
Transformers in Distribution System
162
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
162
Types Of Transformers
1.1K
Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
1.1K
Transformers
1.2K
A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
1.2K
Difference from Background: Limit of Detection
7.1K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
7.1K

