Imprecise Query

Imprecise queries, characterized by ambiguity or incomplete information, pose a significant challenge across various fields, from information retrieval to multi-object tracking. Current research focuses on developing robust models and algorithms that can effectively handle this uncertainty, including probabilistic methods for incorporating imprecise measurements and uncertainty-aware architectures for tasks like video moment retrieval and 3D object tracking. These advancements are crucial for improving the accuracy and reliability of systems that rely on interpreting and acting upon user inputs or sensor data, with applications ranging from autonomous driving to more effective search engines. The development of new datasets and evaluation metrics further supports the ongoing refinement of these methods.