3 accepted papers
Modality or domain distribution shifts pose formidable challenges in 3D semantic segmentation. Existing methods predominantly address either cross-modal or cross-domain adaptation in isolation, leading to insufficient exploration of semantic associations and complementary features in heterogeneous d…
Benefiting from attention mechanisms, query-based detectors have a strong model capacity. They predict classification and regression by utilizing their shared queries and features in the decoder. Inter-task biases cause multi-directional gradients that disturb each other to limit model optimization.…
Existing scene text detectors generally focus on accurately detecting single-level (i.e. word-level line-level or paragraph-level) text entities without exploring the relationships among different levels of text entities. To comprehensively understand scene texts detecting multi-level texts while ex…