SOURCE-LINKED INTELLIGENCE

CoordFormer: Give Me Any Coordinates and I Will Give You Labels

arXiv · AI, language, vision and robotics · article · Sep 8, 2026 · UTC

Semantic segmentation on very-high-resolution images remains challenging due to the high computational cost and the difficulty of capturing fine-grained details. We propose CoordFormer, a novel coordinate-based architecture for semantic segmentation that predicts labels at arbitrary spatial locations through a Coordinate Decoder equipped with a Localized Cross-Attention mechanism. The decoder combines coordinate embeddings with high-resolution local patch features and interacts with global tokens extracted from a downsampled image processed by a ViT foundation encoder, enabling rich semantic c

Read original source ↗ Open in workspace

recordType

paper

region

Global