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Found 7 papers, 1 papers with code
Text-Based Product Matching -- Semi-Supervised Clustering Approach
Matching identical products present in multiple product feeds constitutes a crucial element of many tasks of e-commerce, such as comparing product offerings, dynamic price optimization, and selecting the assortment personalized for the client.
Improving Object Detection Quality in Football Through Super-Resolution Techniques
The study contributes to the growing field of sports technology by demonstrating the practical benefits and limitations of integrating super-resolution techniques in football analytics and broadcasting.
Culturally Responsive Artificial Intelligence -- Problems, Challenges and Solutions
In the contemporary interconnected world, the concept of cultural responsibility occupies paramount importance.
Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer -- Current Trends and Research Perspectives
Overall, this survey provides a valuable resource for researchers interested in the field of action scene understanding in soccer.
Graph Neural Networks in Computer Vision -- Architectures, Datasets and Common Approaches
Firstly, we investigate the architectures of Graph Neural Networks and their derivatives used in this area to provide accurate and explainable recommendations for the ensuing investigations.
Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings
Recent years brought an increasing interest in the application of machine learning algorithms in e-commerce, omnichannel marketing, and the sales industry.
Multilingual Transformers for Product Matching -- Experiments and a New Benchmark in Polish
We tested multilingual mBERT and XLM-RoBERTa models in English on Web Data Commons - training dataset and gold standard for large-scale product matching.
