most citedZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset

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cs.CV2025

True Multimodal In-Context Learning Needs Attention to the Visual Context

Shuo Chen, Jianzhe Liu, Zhen Han +5

Multimodal Large Language Models (MLLMs), built on powerful language backbones, have enabled Multimodal In-Context Learning (MICL)-adapting to new tasks from a few multimodal demon…

cs.CV2024★ 1 cited

ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset

Olaf Wysocki, Yue Tan, Thomas Froech +5

Facade semantic segmentation is a long-standing challenge in photogrammetry and computer vision. Although the last decades have witnessed the influx of facade segmentation methods,…