LangSCD fuses VLM-generated text descriptions with visual features and adds geometric-semantic matching to improve scene change detection, while releasing the NYC-CD dataset of 8122 New York City image pairs with multiclass annotations.
Semi-supervised semantic segmentation under label noise via diverse learning groups
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Scene Change Detection with Vision-Language Representation Learning
LangSCD fuses VLM-generated text descriptions with visual features and adds geometric-semantic matching to improve scene change detection, while releasing the NYC-CD dataset of 8122 New York City image pairs with multiclass annotations.