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The Third Visual Object Tracking Segmentation VOTS2025 Challenge Results
P. 7472–7490.
Kristan M., Matas J., Tokmakov P., Lukežič A., Felsberg M., Zajc L., Tran K., Vu X., Björklund J., Neoral M., Chang H. J., Fernández G., Attari M., Dunnhofer M., Feng W., Feng Z., Gao J., Gu Y., Han R., He J., He Z., Hou J., Hu W., Hu X., Huang X., Huang Y., Kirichenko Gleb, Kittler J., Kou Y., Lai S., Li B., Li X., Lin S., Lu H., Miao D., Micheloni C., Mogollon J., Nottebaum M., Palaniappan K., Pang Z., Qian Z., Rahmon G., Romanov A., Shi L., Solovyev Roman, Kazemi E. S., Toubal I. E., Videnovic J., Wang D., Wang Y., Wang Y., Wang Z., Wu X., Xie J., Xu T., Xue C., Xue Y., Yang M., Yurtov Dmitriy, Zhang C., Zhang X., Zhang Y., Zheng Q., Zhong B., Zhong F., Zhou J., Zhou J., Zhou J., Zhou Y., Zhu X.
The VOTS2025 is the third edition of the Visual Object Tracking Segmentation benchmark. Organised the VOT initiative, VOTS builds on 10 years of experience in organising VOT challenges. Building on the tracking setup introduced in VOTS2023, the challenge continues to integrate short-term and long-term tracking, as well as single-target and multi-target scenarios, using segmentation masks as the sole form of target annotation. This year's benchmark features three sub-challenges. VOTS2025 and VOTSt2025, evaluate tracking of conventional objects and objects undergoing topological changes, respectively. A new addition, VOTS-RT2025, aims to foster the development of efficient tracking models by introducing constraints that highlight realtime performance. All sub-challenges adopt a consistent evaluation protocol, with VOTS-RT2025 introducing specific modifications to reflect latency-aware performance. We report and analyze results from 32 submissions. Full tracker descriptions, source code, datasetsand the evaluation toolkit are available on the project website https://www.votchallenge.net/vots2025/.
In book
Honolulu: IEEE, 2025.
Moshkin A., Лапутин Ф. А., Сидоров И. В., DIGITAL DIAGNOSTICS 2024 Т. 5 № S1 С. 40–42
BACKGROUND: Ovarian reserve reflects a woman's ability to successfully realize reproductive function. The assessment of ovarian reserve is an urgent task for clinical practice [1] and is important in scientific research. The use of computerized diagnostic image processing methods can accelerate and facilitate the performance of routine tasks in clinical practice. Their use in retrospective ...
Added: February 21, 2026
Prikhodko R., Moshkin A., Romanov A., , in: 2025 International Russian Automation Conference (RusAutoCon).: IEEE, 2025. P. 273–278.
The vertebral arteries are one of the most important sources of blood supply to the brain, therefore any pathological changes in them can be the reason behind serious diseases. Magnetic Resonance Imaging (MRI) allows diagnosticians to examine main arteries, which is exceptionally important for effective diagnosis. However, because of the small size of arteries relative ...
Added: November 6, 2025
Edward Elgar Publishing, 2024.
As higher education continues to expand and an increasing number of graduates enter the workforce, this insightful book considers the crucial social and economic questions raised by this societal shift. Fátima Suleman, Pedro Videira and Pedro Teixeira bring together an array of experts to illustrate the connections between higher education and the labour market across ...
Added: August 15, 2024
Zaev R., Romanov A., Solovyev R., , in: 2023 International Russian Smart Industry Conference (SmartIndustryCon), 27-31 March 2023.: Sochi: IEEE, 2023. P. 460–465.
Medical research has made tremendous progress in detecting various pathologies in the human body. There is still the problem of the speed of the process, and the lack of a sufficient number of trained professionals in this field. Detection of prostate cancer, in particular, without surgery is a very labor- intensive process. A neural network-based ...
Added: July 30, 2023
Stepanyants V., Mantsa Andzhusheva, Romanov A., , in: 2023 International Russian Smart Industry Conference (SmartIndustryCon), 27-31 March 2023.: Sochi: IEEE, 2023. P. 621–626.
Many traffic accidents happen on the roads every day and a lot of them are captured on traffic or dashboard cameras. This data could be used to train machine learning models to predict dangerous situations so that they can be prevented. For that, it should be organized into datasets. Nowadays a limited amount of traffic ...
Added: July 30, 2023
Chernyavskiy A., Ilvovsky D., Nakov P., , in: Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings,* 3.: Springer, 2021. P. 677–693.
Added: November 12, 2021
Lebedev A. V., Исраелян Е. А., Маркетинговые коммуникации 2021 № 02(114) С. 124–138
During the pandemic, health has become a core value. Grocery retailers realized the benefits of communicating with eco-consumers. The authors identified customer segments based on their attitude to healthy lifestyles. The article provides data on the gender and age structure of consumers with the average values of receipts, describes portraits of different types of eco-consumers ...
Added: June 10, 2021
Khvostov V., Lukashevich A., Utochkin I. S., Scientific Reports 2021 No. 11 P. 1–8
Added: January 26, 2021
Shafranskaya I. N., Potapov D., Ozhegov E. M., International Journal of Nonprofit and Voluntary Sector Marketing 2021 Vol. 26 No. 3 Article e1698
Business‐like approaches are applied more and more widely in nonprofit organization contexts, and theaters are no exception. Revenue generation, customer segmentation, and personalized marketing are becoming the key managerial concerns. Our study focuses on two relevant aspects of theater attendees' behavior. We examine visitors' willingness‐to‐pay (WTP) for theater seats (to derive revenue drivers), and its ...
Added: September 29, 2020
Panteleeva E., В кн.: Маркетинг-менеджмент : учебник и практикум для бакалавриата и магистратуры.: М.: Юрайт, 2018. Гл. 6 С. 117–147.
Перед вами — первый российский учебник по дисциплине «Маркетинг-менеджмент». В нем раскрываются основы маркетинга в XXI в., клиентоориентированность, брендинг и другие темы, знание которых будет полезно как студентам (бакалаврам и магистрам), так и практикующим менеджерам и маркетологам. Вы познакомитесь с особенностями интернет-маркетинга, отношений со стейкхолдерами и создания идей для новых продуктов и услуг. ...
Added: September 29, 2020
Utochkin I. S., Khvostov V., Wolfe J., Journal of Vision 2020 Vol. 20 No. 8 P. 1–22
Knowledge of target features can guide attention in many conjunction searches in a top-down manner. For example, in search of a red vertical line among blue vertical and red horizontal lines, observers can guide attention toward all red items and all vertical items. In typical conjunction searches, distractors often form perceptually vivid, categorical groups of ...
Added: September 7, 2020
Alexandrovskiy S., Artyushina E., Fomenkov D. A. et al., Жилищное строительство 2020 № 8 С. 27–39
Russian construction companies are trying to find new markets by implementing updated marketing practices. Understanding the behavior of different customer segments in the process of choosing housing becomes one of the priority tasks of the developer. In the process of choosing residential real estate, consumers of different segments make different requirements for housing and use ...
Added: September 6, 2020
Im H. Y., Tiurina N., Utochkin I. S., Attention, Perception and Psychophysics 2021 No. 83 P. 1050–1069
Ensemble representations are often described as efficient tools when summarizing features of multiple similar objects as a group. However, it can sometimes be more useful not to compute a single summary description for all of the objects if they are substantially different, for example when they belong to entirely different categories. It was proposed that the visual ...
Added: June 28, 2020
Никоноров С. М., Lebedev A. V., Аверьянова Л. С., Маркетинг в России и за рубежом 2020 № 1 С. 26–36
Environmental marketing is aimed at satisfying the desires of consumers, taking into account the minimal impact on the environment. Its goal is a growing number of eco-conscious consumers. The article is intended to expand the research base of Russian consumers of environmentally friendly products, identify segments to improve the effectiveness of marketing activities. In a ...
Added: June 19, 2020
Zamyatina E., Veselov I., Plaksin S. et al., , in: The 13th IEEE International Conference on Application of Information and Communication Technologies (AICT2019): / Conference Proceedings.: Baku: The Institute of Electrical and Electronics Engineering, Inc., 2019. P. 77–83.
Early diagnosis of patients' diseases allows to prescribe effective treatment in a timely manner. This article presents the results of research related to the recognition of images of pleural effusions. The purpose of the research is the recognition of images characteristic of pathologies associated with oncological diseases. When recognizing images, convolutional neural networks were used. ...
Added: March 24, 2020
Elena Zamyatina, Veselov I., Plaksin S. et al., , in: The 13th IEEE International Conference on Application of Information and Communication Technologies (AICT2019): / Conference Proceedings.: Baku: The Institute of Electrical and Electronics Engineering, Inc., 2019. P. 77–83.
Early diagnosis of patients' diseases allows to prescribe effective treatment in a timely manner. This article presents the results of research related to the recognition of images of pleural effusions. The purpose of the research is the recognition of images characteristic of pathologies associated with oncological diseases. When recognizing images, convolutional neural networks were used. ...
Added: March 22, 2020
Yakovleva D. A., Tsukanova O.A., , in: Advances in E-Business Engineering for Ubiquitous Computing: ICEBE 2019.: Springer, 2020. P. 221–235.
The present paper is devoted to the study of the mechanics of agent-informational clustering in a social network on the example of user segmentation tasks taking into account an influence criterion. The main features of data generated by social networks (social big data) and metrics that characterize influential network nodes are considered. A review of ...
Added: January 8, 2020
Khvostov V., Utochkin I. S., Stakina Y., Perception 2019 Vol. 48 No. SI P. 126–126
We previously showed that people can discriminate multiple intermixed groups of objects based on "segmentability," large gaps between values in feature distributions forming several peaks. Here, we test whether such discrimination is based on local or global sampling. Two arrays of lines of various orientation (O) and length (L) were presented; both had identical feature ...
Added: August 12, 2019
Развитие сегмента индивидуального жилищного строительства: новые форматы и практики позиционирования
Shushkin M., Alexandrovskiy S., Fomenkov D. A., Н. Новгород: Нижегородский институт управления - филиал Российской академии народного хозяйства и государственной службы, 2018.
Монография предназначена для широкого круга читателей. В частности, она адресована компаниям-застройщикам, желающим самостоятельно провести исследование покупателей жилья или заказать такое исследование в агентстве, а также исследовательским компаниям и агентствам, планирующим исследование покупателей на рынке жилья. Работа будет полезна студентам направлений «Маркетинг» и «Менеджмент» в самостоятельной подготовке проектов исследований покупателей жилья. ...
Added: December 28, 2018
Utochkin I. S., Khvostov V., Stakina Y., Cognition 2018 Vol. 179 P. 178–191
Although objects around us vary in a number of continuous dimensions (color, size, orientation, etc.), we tend to perceive the objects using more discrete, categorical descriptions (e.g., berries and leaves). Previously, we described howcontinuous ensemblestatistics ofsimple featuresaretransformedinto categorical classes: Thevisual system tests whether the feature distribution has one or several peaks, each representing a likely ...
Added: June 25, 2018
Delong A., Osokin A., Isack H. et al., , in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010).: San Francisco: IEEE, 2010. P. 2173–2180.
The α-expansion algorithm [4] has had a significant impact in computer vision due to its generality, effectiveness, and speed. Thus far it can only minimize energies that involve unary, pairwise, and specialized higher-order terms. Our main contribution is to extend α-expansion so that it can simultaneously optimize “label costs” as well. An energy with label ...
Added: October 18, 2017
Utochkin I. S., Khvostov V., Stakina Y., / Series WP BRP "PSYCHOLOGY". 2017. No. 78.
Although objects around us vary in a number of continuous dimensions (color, size, orientation, etc.), we tend to perceive the objects using more discrete, categorical descriptions. For example, in the variety of colors and shapes on a bush, we can see a set of berries and a set of leaves. Previously, we described how the ...
Added: October 16, 2017
Ivanenko V., et a., Gelfand M. S. et al., PeerJ 2016 Vol. 10 No. 4 P. e2305-1–e2305-20
This study describes the segmentation and setation at different developmental stages of the homonomous trunk limbs of the remipede Speleonectes tulumensis Yager, 1987 collected in anchialine caves of the Yucatan Peninsula. Most homonomous trunk limbs originate ventrolaterally and are composed of two protopodal segments, three exopodal segments and four endopodal segments; contralateral limb pairs are ...
Added: March 13, 2017