In contrast to previous work on this learning model, we consider scenarios in which the family of groups is too large to explicitly enumerate, and hence we seek algorithms that only access groups via an optimization oracle.

These are composed into a single vector representing position by a similarity-preserving, conjunctive vector-binding operation.

Graph neural networks (GNNs) have recently emerged as powerful tools for addressing complex optimization problems.

Calibration is a well-studied property of predictors which guarantees meaningful uncertainty estimates.

All code and data will be maintained at the project's repo. Sentinel-2 RGB image captured in 23/05/2023 (one day later). In Figure 1 we assess the performance of our best model, i.e. Emiglia-Romana, Italy, which took place on May 2023. SAR image acquired on 22/05/2023, and two pre-event SAR images from 10/05/2023 and 28/04/2023.

This work focuses on the active learning in video captioning.