计算机顶会举办时间地点速查(参考文献引用)——CVPR

CVPR即IEEE国际计算机视觉与模式识别会议,是计算机视觉领域极具影响力的国际学术会议。本文详细列举了1988年后该会议的举办时间、地点、出版社、会议标题等信息,可供参考文献引用查询。

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CVPR简介

CVPR,全称为IEEE国际计算机视觉与模式识别会议(IEEE Conference on Computer Vision and Pattern Recognition),是计算机视觉领域最具影响力的国际学术会议之一。本文详细列举了自1988年之后会议的举办时间等信息,供参考文献引用查询。

会议、时间、地点、出版社、会议标题

年份时间地点出版地与出版社会议标题
CVPR 1983-Arlington, VA, USAPiscataway, NJ: IEEE-
CVPR 1985-San Francisco, CA, USAPiscataway, NJ: IEEE-
CVPR 1986-Miami, FL, USAPiscataway, NJ: IEEE-
CVPR 1988June 5-9, 1983Ann Arbor, MI, USAPiscataway, NJ: IEEEProceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition
CVPR 1989June 4-8, 1989San Diego, CA, USAPiscataway, NJ: IEEE1989 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CVPR 1991June 3-6, 1991Maui, HI, USA USAPiscataway, NJ: IEEEProceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CVPR 1992June 15-18, 1992Champaign, IL, USAPiscataway, NJ: IEEEProceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CVPR 1993June 15-17, 1993New York, NY, USAPiscataway, NJ: IEEEProceedings of IEEE Conference on Computer Vision and Pattern Recognition
CVPR 1994-Seattle, WA, USAPiscataway, NJ: IEEE-
CVPR 1996June 18-20, 1996San Francisco, Ca, USAPiscataway, NJ: IEEEProceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CVPR 1997June 17-19, 1997Puerto Rico, USAPiscataway, NJ: IEEEProceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CVPR 1998June 23-25, 1998Santa Barnara, California, USAPiscataway, NJ: IEEEProceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CVPR 1999June 23-25, 1999Fort Collins, CO, USAPiscataway, NJ: IEEEProceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CVPR 2000June 13-15, 2000Hilton Head, SC, USAPiscataway, NJ: IEEEProceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000
CVPR 2001Dec. 8-14, 2001Kauai, HI, USAPiscataway, NJ: IEEEProceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001
CVPR 2003June 18-20, 2003Madison, WI, USAPiscataway, NJ: IEEE2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings
CVPR 2004June 27-July 2, 2004Washington D.C., USAPiscataway, NJ: IEEE-
CVPR 2005June 20-25, 2005San Diego, CA, USAPiscataway, NJ: IEEE2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CVPR 2006June 17-22, 2006New York, NY, USAPiscataway, NJ: IEEE2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CVPR 2007June 17-22, 2007Minneapolis, MN, USAPiscataway, NJ: IEEE2007 IEEE Conference on Computer Vision and Pattern Recognition
CVPR 2008June 23-28, 2008Anchorage, AK, USAPiscataway, NJ: IEEE2008 IEEE Conference on Computer Vision and Pattern Recognition
CVPR 2009June 20-25, 2009Miami, FL, USAPiscataway, NJ: IEEE2009 IEEE Conference on Computer Vision and Pattern Recognition
CVPR 2010June 13-18, 2010San Francisco, CA, USAPiscataway, NJ: IEEE2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CVPR 2011June 20-25, 2011Providence, RI, USAPiscataway, NJ: IEEECVPR 2011
CVPR 2012June 16-21, 2012Providence, RI, USAPiscataway, NJ: IEEE2012 IEEE/CVF Conference on Computer Vision and Pattern Recognition
CVPR 2013June 23-28, 2013Portland, OR, USAPiscataway, NJ: IEEE2013 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR 2014June 23-28, 2014Columbus, OH, USAPiscataway, NJ: IEEE2014 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR 2015June 7-12, 2015Boston, MA, USAPiscataway, NJ: IEEE2015 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR 2016June 27-30, 2016Las Vegas, NV, USAPiscataway, NJ: IEEE2016 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR 2017July 21-26, 2017Honolulu, HI, USAPiscataway, NJ: IEEE2017 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR 2018June 18-22, 2018Salt Lake City, UT, USAPiscataway, NJ: IEEE2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR 2019June 15-20, 2019Long Beach,CA, USAPiscataway, NJ: IEEE2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR 2020June 13-19, 2020Seattle, WA, USAPiscataway, NJ: IEEE2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR 2021June 10-25, 2021Nashville, TN, USAPiscataway, NJ: IEEE2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR 2022June 18-24, 2022New Orleans, LA, USAPiscataway, NJ: IEEE2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR 2023June 18-22, 2023Vancouver, CanadaPiscataway, NJ: IEEE2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR 2024June 17-21, 2024Seattle,WA, USAPiscataway, NJ: IEEE2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
<think>好的,我现在需要帮助用户解决关于Dify循环实现的问题。首先,我需要明确用户的具体需求。他们提到“dify 循环实现”或“dify 如何处理循环”,但Dify本身可能没有直接称为“循环”的功能,所以需要结合现有文档中的信息来推断可能的解决方案。 根据用户提供的引用内容,Dify工作流中有迭代节点[^1]。这可能类似于编程中的循环结构,用于重复执行某个任务。例如,在处理列表数据或需要多次执行同一操作时,迭代节点可以派上用场。我需要详细解释迭代节点的配置和使用步骤,确保用户能够理解如何设置循环次数或遍历数据集。 另外,用户可能对如何处理循环中的错误或性能问题感兴趣。引用[2]提到在Dify中处理PEM文件的问题,这可能涉及在循环中正确处理数据格式,避免错误积累。需要提醒用户在循环中注意错误处理和资源管理,确保每次迭代的稳定性。 引用[3]中的例子展示了如何结合FastAPI和Selenium进行实时监控并生成GIF,这可能涉及循环截取浏览器内容。虽然Dify本身可能直接控制这类循环,但可以通过外部脚本或定时任务触发工作流,模拟循环执行。这部分需要说明如何将外部循环机制与Dify结合使用。 接下来,我需要组织回答结构。首先介绍迭代节点的基本概念和配置步骤,然后讨论循环中的数据处理和错误处理,最后补充外部触发循环的方法。同时,生成相关问题以帮助用户进一步探索,比如优化循环性能或处理复杂数据结构。 需要确保回答符合格式要求,使用正确的中文表达,行内公式用$...$,独立公式用$$...$$,但当前问题涉及数学公式,所以可能需要使用。同时,引用标识要自然地添加到相关段落末尾,如、[^2]、[^3]。 最后,检查是否有遗漏点,比如Dify的其他循环相关功能或用户可能遇到的常见问题,确保回答全面且易于理解。</think>在Dify中处理循环逻辑主要通过**迭代节点**实现,以下是具体实现方式和应用场景的解析: ### 一、Dify的循环实现机制 Dify通过**工作流设计器**中的迭代节点处理循环需求,其核心原理类似编程中的`for循环`。迭代节点可遍历以下数据类型: - 数组列表:`["A","B","C"]` - 字典集合:`{"key1":"value1", "key2":"value2"}` - 数值范围:通过`range()`函数生成序列 配置示例: ```python # 模拟迭代节点的数据输入 input_data = { "dataset": [1,2,3,4,5], "process_logic": "item * 2" # 对每个元素执行乘以2的操作 } ``` ### 二、迭代节点的关键配置步骤 1. **数据源绑定**:将数组/字典类型变量连接到迭代节点的输入端口 2. **循环变量命名**:设定当前元素的变量名(默认为`item`) 3. **子流程设计**:在迭代节点内部构建需要重复执行的逻辑模块 4. **结果聚合**:通过`outputs`收集所有迭代结果,支持数组或对象格式 $$ \text{总耗时} = \sum_{i=1}^{n}(单次迭代时间_i) + 系统开销 $$ ### 三、循环中的特殊处理 1. **错误中断控制**: - 启用`continueOnError`参数可跳过失败迭代 - 通过`try-catch`模块包裹敏感操作 2. **并行优化**: ```python # 伪代码示例 Parallel.forEach(dataset, lambda item: process(item)) ``` 3. **结果过滤**: ```python filtered = filter(lambda x: x%2==0, processed_results) ``` ### 四、应用场景案例 1. **批量文件处理**:遍历存储桶中的文件列表进行格式转换 2. **数据清洗**:对数据库查询结果集进行逐条校验 3. **API轮询**:定时循环调用第三方接口直到满足特定条件
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