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Found 7 papers, 0 papers with code
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.
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.
Automating the Analysis of Institutional Design in International Agreements
This paper explores the automatic knowledge extraction of formal institutional design - norms, rules, and actors - from international agreements.
Revisiting Distance Metric Learning for Few-Shot Natural Language Classification
Our systematic experiments have shown that under few-shot learning settings, particularly proxy-based DML losses can positively affect the fine-tuning and inference of a supervised language model.
Distance Metric Learning Loss Functions in Few-Shot Scenarios of Supervised Language Models Fine-Tuning
This paper presents an analysis regarding an influence of the Distance Metric Learning (DML) loss functions on the supervised fine-tuning of the language models for classification tasks.
Entity Graph Extraction from Legal Acts -- a Prototype for a Use Case in Policy Design Analysis
This paper presents research on a prototype developed to serve the quantitative study of public policy design.
Polish Natural Language Inference and Factivity -- an Expert-based Dataset and Benchmarks
The dataset contains entirely natural language utterances in Polish and gathers 2, 432 verb-complement pairs and 309 unique verbs.
