cross-correlated attention networks for person re-identification

交叉相关注意力网络用于人员重新识别是一种深度学习方法，旨在从不同摄像头捕捉到的人员图像中准确地识别出同一人。这种网络结合了交叉相关操作和注意力机制，以提高准确性和鲁棒性。

首先，该网络使用交叉相关操作来比较不同摄像头捕捉到的图像之间的相似性。通过将一个图像与另一个图像进行相关运算，可以计算它们之间的相似度。这个相似度可以用来判断它们是否来自同一个人。

其次，该网络利用注意力机制来重点关注人体的关键特征。通过注意力机制，网络可以自动学习哪些特征对于人员重新识别最为关键。通过将注意力放在那些具有区分性的特征上，网络可以提高识别准确性，并减少对无关特征的关注。

交叉相关注意力网络还具有一些其他的优势。它能够在复杂的场景中进行准确的识别，如遮挡、光照变化等。它还可以处理不同人员之间的外貌相似性问题，确保不会将不同人员错误地划分为同一人。此外，该网络还可以进行端到端的训练，避免了手动提取特征的繁琐过程。

总之，交叉相关注意力网络为人员重新识别提供了一种强大的深度学习方法。它通过交叉相关操作和注意力机制相结合，能够准确地识别出不同摄像头捕捉到的人员图像中的同一人，并在复杂场景下表现出色。

相关问题

Stock return cross-predictability—portfolio analysis

Stock return cross-predictability refers to the ability of one stock's returns to predict the returns of another stock. Portfolio analysis involves constructing a portfolio of stocks and analyzing their performance over time. The two concepts are related in that portfolio analysis can be used to examine the cross-predictability of stock returns.

One approach to portfolio analysis is to construct a portfolio based on a set of criteria, such as industry sector, market capitalization, or company fundamentals. The portfolio can then be analyzed to determine the extent to which the returns of individual stocks within the portfolio are correlated with each other.

If there is a high degree of cross-predictability between the stocks in the portfolio, it suggests that the portfolio is not well-diversified and is exposed to systematic risk. On the other hand, if there is low cross-predictability, it suggests that the portfolio is well-diversified and has less exposure to systematic risk.

To improve portfolio diversification and reduce exposure to systematic risk, investors can use various techniques such as asset allocation, portfolio optimization, and risk management strategies. These techniques can help investors construct portfolios that are better able to withstand market volatility and provide more stable returns over the long term.

publisher-comfirm--type:correlated

在Spring Boot集成RabbitMQ时，使用publisher-confirm（发布者确认）功能可以增强消息的可靠性和准确性。其中，`type: correlated`意味着每个发布的消息都会有一个唯一的标识符，称为“correlation id”，它关联到接收方的响应。当消息被成功确认时，这个correlation id会被用于找到相应的响应。

1. **开启Publisher Confirms**：在发送消息时，你需要设置`publisher-confirms`为true，这会在发送消息后等待接收确认：

rabbitTemplate.setPublisherReturns(true);
rabbitTemplate.setPublisherConfirmations(true);

2. **设置correlationId**：每条发送的消息都应该包含一个`correlationId`，以便于后续验证。可以在消息头或正文里设置：

Map<String, Object> headers = new HashMap<>();
headers.put("correlation-id", someUniqueId); // 替换为生成的实际唯一ID
String routingKey = ...;
Object payload = ...;
rabbitTemplate.convertAndSend("exchangeName", routingKey, payload, headers);

3. **监听确认和拒绝**：创建一个监听器来处理来自消费者的确认或拒绝（negative acknowledgment）。消费者需要设置`consumerCancelled`属性为true，以便监听取消请求：

@Bean
public SimpleMessageListenerContainer listenerContainer() {
    SimpleMessageListenerContainer container = new SimpleMessageListenerContainer();
    container.setConnectionFactory(rabbitConnectionFactory());
    container.setQueueNames("confirmQueue");
    container.setMessageConverter(converter());
    container.setConfirmCallback(new RabbitAdminConfirmedCallbackAdapter() {
        @Override
        public void confirmed(String correlationId, boolean multiple) {
            System.out.println("Received confirmation for correlationId: " + correlationId);
        }

        @Override
        public void rejected(String correlationId, String rejectionReason, Throwable cause) {
            System.err.println("Rejected with reason: " + rejectionReason);
        }
    });
    return container;
}