Abstract: Medical image segmentation is a critical task in clinical applications. Recently, the Segment Anything Model (SAM) has demonstrated potential for natural image segmentation. However, the ...
🔥 We advocate Lane Segment as a map learning paradigm that seamlessly incorporates both map 🛣️ geometry and 🕸️ topology information. The evaluation results below are based on OpenLane-V2 devkit ...
As I arched my back, raised my chin and stuck out my behind, it occurred to me that I had never given so much attention to ...
The Range Rover Sport has always walked a fine line between elegance and aggression, but the PHEV leans heavily toward the ...
Abstract: We propose SAM-Road, an adaptation of the Segment Anything Model (SAM) [27] for extracting large-scale, vectorized road network graphs from satellite imagery. To predict graph geometry, we ...
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