5 accepted papers
Multi-Agent collaborative perception is currently experiencing a surge in attention as a novel approach to addressing autonomous driving challenges. Despite advances in previous efforts, challenges remain due to various dilemmas in the perception process, such as imperfect localization and collabora
Generalized Category Discovery (GCD) aims at classifying unlabeled training data coming from old and novel classes by leveraging the information of partially labeled old classes. In this paper, we reveal that existing methods often suffer from competition between new and old classes, where the focus
In reinforcement learning (RL), learning directly from pixels, is commonly known as vision-based RL. Effective state representations are crucial for high performance in vision-based RL. However, in order to learn effective state representations, most current vision-based RL methods based on contrast…
Multi-teacher knowledge distillation can improve the performance of student networks in semi-supervised node classification tasks, but existing works ignore the importance of different teachers, using average of multiple teachers as final prediction. In addition, they rely on a large amount of label…
The baselines of a document page are a set of virtual horizontal and parallel lines, to which the printed contents of document, e.g., text lines, tables or inserted photos, are aligned. Accurate baseline extraction is of great importance in the geometric correction of curved document images. In this…