Abstract: Object-level change detection is a critical task in remote sensing with broad applications in urban traffic monitoring and smart city management. However, existing methods are primarily ...

Abstract: A new object-based change detection method has been proposed to address the limitations of existing research based on pixel-based change detection, as well as the neglect of concurrent ...

A groundbreaking discovery on Mars has scientists buzzing! Unidentified objects resembling eggs have been found on the Martian surface, leading to exciting possibilities about life beyond Earth. What ...

OBER (OBject-Effect Removal) is a hybrid dataset designed to support research in object removal with effects, combining both camera-captured and simulated data. 🔥 We have released the full dataset ...

A Knicks fan threw an object at Spurs superstar Victor Wembanyama as he and his teammates returned to their Midtown hotel following New York’s historic comeback win on Wednesday night. Wembanyama had ...

Official implementation of our CleanPose, the first solution to mitigate the confoundering effect in category-level pose estimation via causal learning and knowledge distillation. You can generate the ...