In sports technology, scientific research plays an indispensable role in pushing the boundaries of innovation. This is especially true in the development of innovative software solutions, which are the foundation of countless advancements in various industries.
At Constructor, we understand the significance of scientific research in creating cutting-edge software. Our dedication to it has led to the publication of several valuable papers, such as:
- "Simultaneous perturbation method for multi-task weight optimization in one-shot meta-learning" - In this paper we investigate the modification of a standard meta-learning pipeline. The proposed method simultaneously utilizes information from several meta-training tasks in a common loss function.
- "Soccernet 2022: Challenges and Results" - This paper discusses the SoccerNet 2022 challenges which were the second annual video understanding challenges organized by the SoccerNet team.
"Race lens: A machine intelligence-based application for racing photo analysis” - This paper presents Race lens, a novel application utilizing advanced deep learning and computer vision models for comprehensive analysis of racing photos.
Research findings are instrumental in forging the path towards more superior, efficient, and dependable software solutions, capable of confronting the multifaceted challenges confronted across various sectors, particularly in the realm of sports technology.
Our commitment to science and education is anchored in the belief that excellence and innovation go hand in hand. Through the publication of high-quality research papers, we strive to equip our clients with state-of-the-art software solutions, tailor-made to meet and exceed their diverse needs.
For an in-depth exploration of our contributions, we invite you to read the following papers:
- Simultaneous perturbation method for multi-task weight optimization in one-shot meta-learning.
- Soccernet 2022: Challenges and Results.
- Race lens: A machine intelligence-based application for racing photo analysis