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Found 6 papers, 3 papers with code
Extracting polygonal footprints in off-nadir images with Segment Anything Model
However, the results from this multi-stage inference are not applicable in data production, because of the low quality of masks given by prediction.
Open-CD: A Comprehensive Toolbox for Change Detection
We present Open-CD, a change detection toolbox that contains a rich set of change detection methods as well as related components and modules.
SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector
The insight of SemiCD-VL is to synthesize free change labels using VLMs to provide additional supervision signals for unlabeled data.
Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency
The SPM module incorporates a Severity Perception mechanism, guiding a Mask operation that enables our model to learn highly consistent features from the augmented scenes.
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning
SAVPT features a novel metric Severity that divides all adverse scene images into low-severity and high-severity images.
Ranked #1 on
Domain Adaptation
on Cityscapes-to-FoggyDriving
Prompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model
More accurate extraction of invisible building footprints from very-high-resolution (VHR) aerial images relies on roof segmentation and roof-to-footprint offset extraction.
