High-definition (HD) map provides abundant and precise static environmental information of
the driving scene, serving as a fundamental and indispensable component for planning in …

Autonomous driving systems require High-Definition (HD) semantic maps to navigate
around urban roads. Existing solutions approach the semantic mapping problem by offline …

The discrimination of instance embeddings plays a vital role in associating instances across
time for online video instance segmentation (VIS). Instance embedding learning is directly …

Recent attention in instance segmentation has focused on query-based models. Despite
being non-maximum suppression (NMS)-free and end-to-end, the superiority of these …

Deep learning based methods have significantly boosted the study of automatic building
extraction from remote sensing images. However, delineating vectorized and regular …

Underwater image instance segmentation is a fundamental and critical step in underwater
image analysis and understanding. However, the paucity of general multiclass instance …

This paper presents IP-SLT, a simple yet effective framework for sign language translation
(SLT). Our IP-SLT adopts a recurrent structure and enhances the semantic representation …

Box-supervised instance segmentation has gained much attention as it requires only simple
box annotations instead of costly mask or polygon annotations. However, existing box …

Vision-based target detection and segmentation has been an important research content for
environment perception in autonomous driving, but the mainstream target detection and …

Abstract Amodal Instance Segmentation (AIS) endeavors to accurately deduce complete
object shapes that are partially or fully occluded. However, the inherent ill-posed nature of …