Abstract: Remote sensing (RS) scene classification (RSSC) is a prominent research topic in the RS community. Multilevel feature fusion is an important way of addressing RSSC, and many methods have ...

This is a benchmarking tool for Qdrant's sparse vector implementation using the NeurIPS 2023 datasets. This task is based on the common MSMARCO passage retrieval dataset, which has 8,841,823 text ...

Abstract: In the past few years, group-based sparse representation (GSR) has emerged as a powerful paradigm for image inverse problems by synergizing model-driven interpretability with nonlocal ...

Proportional representation opens the door to more choice because it becomes possible for a smaller party to win one seat out of five, for example. It would begin to break up the two-party system that ...