Jan 4, 2018 · 针对传统方法的不足，Selective Search 从三个角度提出了改进：. 我们没法事先得知物体的大小，在传统方法中需要用不同尺寸的矩形框检测物体，防止遗漏。. 而 Selective Search 采用了一种具备层次结构的算法来解决这个问题；. 检测的时间复杂度可能 …To help us get the right person to help you, please select your subject above from our drop down menu and submit the form. Once your form is submitted, your message will go directly to the appropriate department at Selective. For any general website concerns email us at [email protected] and a member of our team will be …Selective & Harris Poll Survey of High-Value Holiday Gifts & Insurance. More than 2 in 5 (43%) of home insurance policyholders who purchased or received valuable items (worth $1,000 or more) during the recent holiday season did not update their insurance coverage to insure those items according to a new study commissioned …I would definitely recommend Selective Search, it really is a premiere matching service. ***** and ***** are both genuinely friendly and professional to work with. They are thorough with their ...Feb 17, 2023 · 经典的检测方法生成检测框都非常耗时，如OpenCV adaboost使用滑动窗口+图像金字塔生成检测框；或如R-CNN使用SS(Selective Search)方法生成检测框。 而Faster RCNN则抛弃了传统的滑动窗口和SS方法，直接使用RPN生成检测框，这也是Faster R-CNN的巨大优势，能极大提升检测框的生成速度。Jan 4, 2018 · 针对传统方法的不足，Selective Search 从三个角度提出了改进：. 我们没法事先得知物体的大小，在传统方法中需要用不同尺寸的矩形框检测物体，防止遗漏。. 而 Selective Search 采用了一种具备层次结构的算法来解决这个问题；. 检测的时间复杂度可能 …selectivesearch算法实现 OpenCV实现了论文Selective Search for Object Recognition提供的选择性搜索算法。 当前仓库将整个工程进行重构，以便进一步的学习和使用 当前在Ubuntu 18.04下使用OpenCV 4.2.0Selective Dating Services. Kelleher International has perfected the exclusive dating process. With our thorough questionnaires, in-depth profiles and personal attention paid to each client, we believe this combination provides a perspective that allows us to evaluate and then match each client. We carefully choose our clients based on …Our Leadership. Selective’s seasoned leadership team drives the organization’s strategies for success. Click below to view individual biographies for members of the Board of Directors and Selective’s Management Team. Board of Directors. Management Team.Jan 29, 2021 · 选择性搜索（selective serach）算法就是一种区域建议算法 原理解析¶ 选择性搜索算法是一个目标检测算法，通过图分割算法得到初始分割区域，然后利用分层分组算法组合更 …Sep 1, 2013 · Our selective search results in a small set of data-driven, class-independent, high quality locations, yielding 99 % recall and a Mean Average Best Overlap of 0.879 at 10,097 locations.Selective Search is an object proposal algorithm which combines the strength of both exhaustive search and segmentation. We provide a python implementation of selective search. We also …Apr 2, 2013 · Abstract. This paper addresses the problem of generating possible object locations for use in object recognition. We introduce selective search which combines the strength of both an exhaustive search and segmentation. Like segmentation, we use the image structure to guide our sampling process. Oct 27, 2016 · 一、摘要. 本文主要介绍物体识别中的一种选择性搜索（Selective Search）方法。. 物体识别，在之前的做法主要是基于穷举搜索（Exhaustive Search）：选择一个窗口扫描整张图像（image），改变窗口的大小，继续扫描整张图像。. 这种做法是比较原始直观，改变窗口 ...Apr 2, 2013 · Abstract. This paper addresses the problem of generating possible object locations for use in object recognition. We introduce selective search which combines the strength of both an exhaustive search and segmentation. Like segmentation, we use the image structure to guide our sampling process. Aug 7, 2020 · selective search算法不使用暴力方法，而是用候选区域方法（region proposal method）创建目标检测的感兴趣区域（ROI）。 在选择性搜索（selective search，SS）中，我们可以先利用基于图的图像分割的方法得到小尺度的区域，然后一次次合并得到大的尺寸。Explore Careers at Selective Insurance. Selective's competitive advantage lies in the diversity of our employees and the strength of our relationships. Our highly engaged team runs on the unique talents, abilities, and perspectives of over 2,600 colleagues who strive to be and do their very best every day. Search Jobs.May 15, 2019 · 二、selective search算法流程. step0：生成区域集R，具体参见论文 《Efficient Graph-Based Image Segmentation》. step1：计算区域集R里每个相邻区域的相似度S= {s1,s2,…} step2：找出相似度最高的两个区域，将其合并为新集，添加进R. step3：从S中移除所有与step2中有关的子集.The objectness-based anchors provide several complementary selective search regions, and an entropy-minimization-based selection method is introduced to find the best anchor. Our approach offers two benefits: 1) selective search regions can increase the chance of tracking success with affordable …Jan 24, 2016 · 这篇论文是J.R.R. Uijlings发表在2012 IJCV上的一篇文章，主要介绍了选择性搜索（Selective Search）的方法。. 物体识别（Object Recognition），在图像中找到确定一个物体，并找出其为具体位置，经过长时间的发展已经有了不少成就。. 之前的做法主要是基 …May 8, 2020 · 传统检测方法提取候选区域都非常耗时，如OpenCV adaboost使用滑动窗口+图像金字塔，或R-CNN使用SS(Selective Search)。 而Faster RCNN直接使用RPN生成检测框，能极大提升检测框的生成速度，而RPN是用一个全卷积网络来实现的，可以与检测网络共享整幅图像的卷积特征，从而产生几乎无代价的区域推荐。Every man who is registered with the Selective Service System will receive a registration acknowledgement letter with a registration card in the mail from Selective Service within 90 days of registering. This is proof of your registration and can be used when applying for: state-based aid in 31 states. federal jobs.Jun 7, 2017 · cmd: string. selective search function to call: - 'selective_search' for a few quick proposals. - 'selective_seach_rcnn' for R-CNN configuration for more coverage. """ # Form the MATLAB script command that processes images and write to # temporary results file. f, output_filename = tempfile.mkstemp(suffix= '.mat')Aug 9, 2019 · 目标检测 —— Selective Search 算法 GitHub 简书 CSDN 论文题目: Selective Search for Object Recognition 1. 前言 由于目标检测和图像分类的不同，一张图可能存在多个目标，因此为了定位和识别出图片中的目标，一个简单的做法是通过 滑动窗口 的方法来将图像分割成许多的子区域，然后进行识别和坐标修正。May 2, 2019 · selective_search函数的定义如下：. def selective_search ( im_orig, scale =1.0, sigma=0.8, min_size=50 ): '''Selective Search 首先通过基于图的图像分割方法初始化原始区域，就是将图像分割成很多很多的小块 然后我们使用贪心策略，计算每两个相邻的区域的相似度 然后每次合并最 ...Feb 21, 2020 · R-CNN的详细步骤. 步骤一：训练 (或者下载)一个分类模型 (比如AlexNet) 步骤二：对该模型做fine-tuning. • 将分类数从1000改为20，比如20个物体类别 + 1个背景. • 去掉最后一个全连接层. 步骤三：特征提取. • 提取图像的所有候选框（选择性搜 …Founded in 2000, Selective Search is North America’s leading luxury matchmaking firm, offering the largest proprietary network of beautiful, quality Affiliates. Our staff of seasoned professionals, uses Fortune 500 executive recruitment techniques to help commitment-minded men and women in …Dec 2, 2022 · 1）介绍. 在目标检测当中，RCNN神经网络在提取候选框中使用了选择搜索算法（selective search）；可参考 博客. 首先明白选择搜索算法是干嘛的：为了分割图像，提取图像候选区域；；. 感性理解：数字图像包含很多信息，可以抽象出来颜色，形状，纹理 …May 11, 2018 · selective search 就是其中之一！. 首先通过简单的区域划分算法，将图片划分成很多小区域，再通过相似度和区域大小（小的区域先聚合，这样是防止大的区域不断的聚合小区域，导致层次关系不完全）不断的聚合相邻小区域，类似于聚类的思路。. 这样就能解决 ...Mar 17, 2018 · 该文翻译整理自：selective search for object detection（c++ / python） 一、目标检测 VS 目标识别 目标识别（objec recognition）就是要指出一幅输入图像中包含那类目标。 输入时一幅图像，输出是目标属于某个类别的概率（class probability）。而目标检测（object detection）除了要告诉输入图像中包含Our selective search results in a small set of data-driven, class-independent, high quality locations, yielding 99 % recall and a Mean Average Best Overlap of 0.879 at 10,097 locations. The reduced number of locations compared to an exhaustive search enables the use of stronger machine learning techniques and stronger appearance models for ...Mar 9, 2019 · 1，selective search算法流程. step0：生成区域集R，具体参见论文 《Efficient Graph-Based Image Segmentation》. step1：计算区域集R里每个相邻区域的相似度S= {s1,s2,…} step2：找出相似度最高的两个区域，将其合并为新集，添加进R. step3：从S中移除所有与step2中有关的子集.Search Our Job Vacancies. Selective Search Recruitment specialises in the supply of experienced sales consultants and Business development Managers in IT Sales recruitment to the Technology, Software and Consulting markets and we focus on head hunting the best sales consultants in the Cloud, AI Machine Learning, Digital …May 8, 2020 · 传统检测方法提取候选区域都非常耗时，如OpenCV adaboost使用滑动窗口+图像金字塔，或R-CNN使用SS(Selective Search)。 而Faster RCNN直接使用RPN生成检测框，能极大提升检测框的生成速度，而RPN是用一个全卷积网络来实现的，可以与检测网络共享整幅图像的卷积特征，从而产生几乎无代价的区域推荐。There are mainly three parameters in the selective search approach: scale, ˙and min_size. The parameter scalecontrols the number and size of the produced segments, that higher scalemeans less but larger segments. The parameter ˙is the diameter of the Gaussian kernel used for smoothing theNov 28, 2019 · Selective Search 算法流程 2.1 介绍 选择搜索算法的主要观点：图像中物体可能存在的区域应该是有某些相似性或者连续性区域的。因此，选择搜索基于上面这一想法采用子区域合并的方法进行提取bounding boxes候选边界框。首先，对输入图像进行分割 ...Selective Search implementation for Python. Download files. Download the file for your platform. If you're not sure which to choose, learn more about installing packages.. Source DistributionThis is a simple Selective Search Implementation for Python. Install $ pip install selectivesearch Usage. It is super-simple.Jul 23, 2018 · 前一段时间在看Selective Search 的 Efficient Graph-Based Image Segmentation.rar 07-09 《Efficient Graph-Based Image Segmentation》论文C++代码，交流学习下 以下是computer vision：algorithm and application计算机视觉算法与应用这本书中附 …Aug 21, 2019 · Selective search 算法考虑了 4 种相似性度量，取值都在 [0,1] 之间，越大越相似。. 其中 取 0 或 1. 总结起来，selective search 的算法步骤非常简单：. 基于 oversegmented 得到细分的区域，作为初始的 region 集合。. 计算 region 两两之间的相似性，合并具有最大相似性的两个 ...Apr 20, 2021 · 文章浏览阅读1.8k次。Selective Search算法—候选框生成相比于滑动搜索策略，Selective Search算法采用启发式的方法，过滤掉图像中很多断裂的子区域，候选生成所需的目标区域（Region Proposal），计算效率大幅提升。文章目录Selective Search ...selectivesearch算法实现 OpenCV实现了论文Selective Search for Object Recognition提供的选择性搜索算法。 当前仓库将整个工程进行重构，以便进一步的学习和使用 当前在Ubuntu 18.04下使用OpenCV 4.2.0exhaustive search is that is aims to capture all object locations, and the advantage of segmentation is that it uses image structure to guide the search for object locations. The selective search re-sults in a small set of data-driven, class-independent, high quality locations. The results of selective search have been outstandingAs a client of Selective Search, you can expect confidential professionalism at every step in the process, and results that will last a lifetime. Love is one of the most important aspects of life. It’s time to prioritize your happiness. As a client of Selective Search, you can expect confidential professionalism at every step in the process ...www.selectivesearch.com. Chicago, IL. 1 to 50 Employees. Type: Company - Private. Founded in 2000. Revenue: Unknown / Non-Applicable. HR Consulting. Competitors: Unknown. As North America's leading boutique matchmaking firm since 2000, we have the highest success rate in the industry at 87%.3 days ago · We propose dual-path Mamba, which models short-term and long-term forward and backward dependency of speech signals using selective state spaces. Our experimental …Selective Search is a method that over-segment the image based on intensity of the pixels and groups the segments by similarity to create region proposals for object detection tasks. It is a …www.selectivesearch.com. Chicago, IL. 1 to 50 Employees. Type: Company - Private. Founded in 2000. Revenue: Unknown / Non-Applicable. HR Consulting. Competitors: Unknown. As North America's leading boutique matchmaking firm since 2000, we have the highest success rate in the industry at 87%.Feb 21, 2020 · R-CNN的详细步骤. 步骤一：训练 (或者下载)一个分类模型 (比如AlexNet) 步骤二：对该模型做fine-tuning. • 将分类数从1000改为20，比如20个物体类别 + 1个背景. • 去掉最后一个全连接层. 步骤三：特征提取. • 提取图像的所有候选框（选择性搜 …Selective search được sử dụng dựa trên image segmetation để đưa ra các region proposals (khoảng 2000 regions) có khả năng chứa object. Selective search có performance tốt hơn nhiều so với sử dụng image pyramid và sliding window. Việc nghiên cứu Selective earch cũng giúp các nhà khoa học tạo ra một …Jul 6, 2020 · In this tutorial, you learned how to perform region proposal object detection with OpenCV, Keras, and TensorFlow. Using region proposals for object detection is a 4-step process: Step #1: Use Selective Search (a region proposal algorithm) to generate candidate regions of an input image that could contain an object of interest.public void switchToSelectiveSearchFast (int base_k, int inc_k, float sigma) Initialize the class with the 'Selective search fast' parameters describled in CITE: uijlings2013selective. Parameters: base_k - The k parameter for the first graph segmentation. inc_k - The increment of the k parameter for all graph segmentations.Nov 28, 2019 · Selective Search 算法流程 2.1 介绍 选择搜索算法的主要观点：图像中物体可能存在的区域应该是有某些相似性或者连续性区域的。因此，选择搜索基于上面这一想法采用子区域合并的方法进行提取bounding boxes候选边界框。首先，对输入图像进行分割 ...selective search staffing & Consulting offers a unique recruiting process allowing companies of all sizes to attract the best talent with specific experience to join their teams. Search Results Follow us on the social networkOur selective search results in a small set of data-driven, class-independent, high quality locations, yielding 99 % recall and a Mean Average Best Overlap of 0.879 at 10,097 locations. The reduced number of locations compared to an exhaustive search enables the use of stronger machine learning techniques and stronger appearance models for ...Jan 2, 2021 · Selective search is a powerful technique that is widely used in popular object detection algorithms, like within the family of Region-Based CNNs (R-CNN, Fast R-CNN and Faster R-CNN). References Oct 13, 2022 · Selective Search(选择性搜索)算法在目标检测中，这个算法，可以启发式地搜索出可能包含物体的区域，而不用随机盲目地找很多个方框。最简单的目标检测我们的思路是先搞出一些小的方框(不一定是方块，但一定是连在一起的区域)，然后不断的合并一、图像分割为了方便合并，我们先处理出一些小的 ...Select Search cost ranges between $25,000 and $250,000+. Joining the Selective Search database is free, but it only provides you with the opportunity to be matched with a paying client. It’s important to note that as a database candidate, you won’t receive active matchmaking services - there is no guarantee of ever being considered as a match.Our selective search results in a small set of data-driven, class-independent, high quality locations, yielding 99 % recall and a Mean Average Best Overlap of 0.879 at 10,097 locations. The reduced number of locations compared to an exhaustive search enables the use of stronger machine learning techniques and stronger appearance models for ...Aug 29, 2018 · 文章浏览阅读227次。选择性搜索简述选择性搜索（Selective Search）的方法。选择性搜索综合了蛮力搜索（exhaustive search）和分割（segmentation）的方法。选择性搜索意在找出可能的目标位置来进行物体的识别。与传统的单一策略相比，选择性 ...May 7, 2021 · 利用Selective Search提取Region Proposal并resize后，接下来使用CNN（AlexNet、VGG）从每个Region Proposal提取特征。 本文训练CNN的方法，主要包括以下两步： （1）Pre-training阶段：由于物体标签训练数据少，如果要直接采用随机初始化CNN参数的方法是不足以从零开始训练出一个好的CNN模型。Mar 6, 2018 · 二、selective search. 我们使用 bottom-up的层级分组算法 进行selective search。. 1. 首先，图像中有n个预分割的初始区域。. 2. 计算每个region与它相邻region的相似度，此时可以得到n*n的相似矩阵(不相邻region间的相似度可设为NaN--Not a Number)。. 3. 将相似度最大的两个区域 ...Specialties: Headquartered in Chicago, providing service across the country, Selective Search is North America's leading luxury matchmaking firm, where executive recruiting meets personal matchmaking. Selective Search's team of seasoned professionals uses Fortune 500 executive recruitment techniques to help commitment-minded men and …As the nation’s leading matchmaker for women, Selective Search offers services to help commitment-minded singles, like you, find love. 87%. Success Rate. 4000+. Happy Couples. 100%. Confidential. Start Your Search. Our goal is to introduce you to the love of your life, while you’re busy living your life.Mar 23, 2022 · 选择性搜索算法是一种基于区域的目标识别方法，用于生成候选区域，用于后续的网络训练和分类。本文介绍了选择性搜索算法的思路、流程、问题来源和在R-CNN和Fast R-CNN中的应用，以及相似度计算和特征提取的方法。Mar 19, 2022 · 2.3 物体检测之选择性搜索 (Selective Search) 选择性搜索算法用于为物体检测算法提供候选区域，它速度快，召回率高。. 选择性搜索算法需要先使用《Efficient Graph-Based Image Segmentation》论文里的方法产生初始的分割区域，然后使用相似度计算方法合并一些小的区域 ...Oct 11, 2023 · Selective Search. Selective Search is a region-based technique extensively used for object detection tasks within computer vision. It aims to generate a varied set of region proposals from an input image, where each region proposal representing a potential object or object portion.These region proposals are subsequently used as candidate ...2 days ago · Large language models have manifested remarkable capabilities by leveraging chain-of-thought (CoT) reasoning techniques to solve intricate questions through step-by-step …Mar 14, 2023 · 选择搜索 ( Selective Search )算法介绍与 Python实现 解释. 文章目录一、算法的主要思路二、伪代码 选择搜索 ( Select Search )算法是一种通过分割图像为小块，然后逐步合并这些小块以获取所需要的子块的启发式算法 在 选择搜索 算法被用于生成模型的候 区 …Selective Search is an object proposal algorithm which combines the strength of both exhaustive search and segmentation. We provide a python implementation of selective search. We also …Started in 1985, Selective Search covered the entire computer chess scene in elaborate and loving detail until 2013. Eric Hallsworth, creator and editor of Selective Search magazine, has graciously given his permission to make this historic set of issues available free of charge to computer chess aficionados everywhere. …Jan 12, 2012 · For object recognition, the current state-of-the-art is based on exhaustive search. However, to enable the use of more expensive features and classifiers and thereby progress beyond the state-of-the-art, a selective search strategy is needed. Therefore, we adapt segmentation as a selective search by reconsidering segmentation: We propose to …Aug 7, 2020 · selective search算法不使用暴力方法，而是用候选区域方法（region proposal method）创建目标检测的感兴趣区域（ROI）。 在选择性搜索（selective search，SS）中，我们可以先利用基于图的图像分割的方法得到小尺度的区域，然后一次次合并得到大的尺寸。Sep 29, 2019 · Selective Search for Object Recognition论文中OpenCV2.4.13+VS2015完全实现版。作者对其中加入了大量代码注释，甚至每个变量的含义都解释得非常清晰。代码结构完整，可以让读者更好的理解Selective Search算法。可以完美运行，得到实验结果。There are mainly three parameters in the selective search approach: scale, ˙and min_size. The parameter scalecontrols the number and size of the produced segments, that higher …Jul 22, 2021 · Learn how selective search algorithm uses greedy method and segmentation to generate region proposals for object detection. See results, applications and comparison with … There are many matchmaking services for women out there, but none that safeguard your time, privacy, and preferences like Selective Search. Unlike other dating apps or sites, Selective Search is dedicated to building long-term loving relationships for busy professionals just like you. Selective Search is an object proposal algorithm which combines the strength of both exhaustive search and segmentation. We provide a python implementation of selective search. We also integrate it with fast-rcnn, which uses these proposals for object detection.Aug 29, 2019 · Selective Search简介. 在Faster R-CNN算法之前，R-CNN，SPP-Net和Faster R-CNN这些方法中，都用到了SS（Selective Search）算法，它其实是一种区域建议算法为后续的检测任务提供候选框，SS的论文是 《Selective Search for Object Recognition》 ，即便是这篇论文自己的任务最后都是目标 ...2 days ago · Large language models have manifested remarkable capabilities by leveraging chain-of-thought (CoT) reasoning techniques to solve intricate questions through step-by-step …
Aug 9, 2019 · 目标检测 —— Selective Search 算法 GitHub 简书 CSDN 论文题目: Selective Search for Object Recognition 1. 前言 由于目标检测和图像分类的不同，一张图可能存在多个目标，因此为了定位和识别出图片中的目标，一个简单的做法是通过 滑动窗口 的方法来将图像分割成许多的子区域，然后进行识别和坐标修正。. Clear stem
(ICCV 2023) Large Selective Kernel Network for Remote Sensing Object Detection - zcablii/LSKNet (ICCV 2023) Large Selective Kernel Network for Remote Sensing Object …Jan 29, 2021 · 选择性搜索（selective serach）算法就是一种区域建议算法 原理解析¶ 选择性搜索算法是一个目标检测算法，通过图分割算法得到初始分割区域，然后利用分层分组算法组合更 …Aug 29, 2018 · 本文介绍了选择性搜索 (Selective Search)这一种产生候选区域的算法，它是物体检测算法的核心之一。选择性搜索算法利用图像的边缘、颜色、纹理等特征，合并相似的区域， …在学习 Selective Search 算法之前，我曾在计算机视觉课上学到过关于物体（主要是人脸）检测的方法。 通常来说，最常规也是最简单粗暴的方法，就是用不同尺寸的矩形框，一行一行地扫描整张图像，通过提取矩形框内的特征判断是否是待检测物体。DOI: 10.1007/978-3-642-41083-3_23 Corpus ID: 4475363; Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound @inproceedings{Ni2013SelectiveSA, title={Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound}, author={Dong Ni and …Jul 22, 2021 · This article looks into selective search algorithm which uses both Exhaustive search and segmentation (a method to separate objects of different shapes in the image by assigning them different colors). Selective Search is an object proposal algorithm which combines the strength of both exhaustive search and segmentation. We provide a python implementation of selective search. We also integrate it with fast-rcnn, which uses these proposals for object detection.Jan 4, 2018 · 针对传统方法的不足，Selective Search 从三个角度提出了改进：. 我们没法事先得知物体的大小，在传统方法中需要用不同尺寸的矩形框检测物体，防止遗漏。. 而 Selective Search 采用了一种具备层次结构的算法来解决这个问题；. 检测的时间复杂度可能 …Selective search and selective rehearsal accounts of this effect were tested in 2 paired-associate probe experiments with undergraduates (N = 216). Selective rehearsal was tested by varying the time available for rehearsal. Selective search was examined by comparing the effectiveness of the forget cue in recall and on a …Apr 2, 2013 · Abstract. This paper addresses the problem of generating possible object locations for use in object recognition. We introduce selective search which combines the strength of both an exhaustive search and segmentation. Like segmentation, we use the image structure to guide our sampling process. Feb 20, 2019 · 由此提出使用比较广泛的Selective search算法. Selective search算法（以下简称ss算法）：首先通过以及简单的聚类生成区域集合；然后根据定义的相似度不断合并相邻区域构成新的候选框。. 本质上是 … HIGH-END MATCHMAKING SERVICES. Where Executive Search Meets Personal Matchmaking. TM. Selective Search provides high-end matchmaking services to accomplished, commitment-minded individuals across the nation. Discover how our approach to finding love is recognized as best-in-class. CLIENT PROGRAM. Apr 27, 2017 · selectivesearch.selectivesearch.selective_search (im_orig, scale=1.0, sigma=0.8, min_size=50) 函数. 此函数并不是tensorflow中的，安装方式是pip install selectivesearch. 此函数在物体识别中非常重要，一般在一个随意的图片来说，要识别物体的尺寸可能非常不固定，当我们把图片重定义到 ...As a client of Selective Search, you can expect confidential professionalism at every step in the process, and results that will last a lifetime. Love is one of the most important aspects of life. It’s time to prioritize your happiness. As a client of Selective Search, you can expect confidential professionalism at every step in the process ....