Road marking point cloud segmentation is essential for autonomous driving perception and high-definition map updating. However, road markings are typically represented by elongated, sparse, and irregular point structures, while non-uniform point density, occlusions, and pavement noise further increase the difficulty of...
Referring segmentation in overhead imagery is inherently relational: a query may ask for the buildings north of the road or the pond closest to a residential area, so the correct referent can contain one object, several objects, or none. Existing benchmarks mainly score mask overlap, which cannot verify whether a model...
Shuai Cao, Min Huang, Meng Tang et al.· 0 citations
HAFR-Net is presented, a progressive refinement framework that adaptively organizes and conservatively refines hierarchical representations instead of replacing them with a monolithic decoder transformation and shows consistent spatial reweighting beyond content-only routing, improved boundary and thin-structure accura...
Shuai Cao, Meng Tang, Shuwei Peng et al.· 0 citations
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