5 papers
RoadSceneVQA: Benchmarking Visual Question Answering in Roadside Perception Systems for Intelligent Transportation System
Runwei Guan, Rongsheng Hu, Shangshu Chen +10
Current roadside perception systems mainly focus on instance-level perception, which fall short in enabling interaction via natural language and reasoning about traffic behaviors i…
MapSAM2: Adapting SAM2 for Automatic Segmentation of Historical Map Images and Time Series
Xue Xia, Randall Balestriero, Tao Zhang +4
Historical maps are unique and valuable archives that document geographic features across different time periods. However, automated analysis of historical map images remains a sig…
Self-supervised Video Instance Segmentation Can Boost Geographic Entity Alignment in Historical Maps
Xue Xia, Randall Balestriero, Tao Zhang +1
Tracking geographic entities from historical maps, such as buildings, offers valuable insights into cultural heritage, urbanization patterns, environmental changes, and various his…
MapSAM: Adapting Segment Anything Model for Automated Feature Detection in Historical Maps
Xue Xia, Daiwei Zhang, Wenxuan Song +2
Automated feature detection in historical maps can significantly accelerate the reconstruction of the geospatial past. However, this process is often constrained by the time-consum…
Probabilistic road classification in historical maps using synthetic data and deep learning
Dominik J. Mühlematter, Sebastian Schweizer, Chenjing Jiao +3
Historical maps are invaluable for analyzing long-term changes in transportation and spatial development, offering a rich source of data for evolutionary studies. However, digitizi…