In accordance with Harvard University policy, Professional Education at the Harvard Graduate School of Education affirms the right of all individuals to equal treatment in education without regard to ...
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 ...
Object detection, particularly open-vocabulary object detection, plays a crucial role in Earth sciences, such as environmental monitoring, natural disaster assessment, and land-use planning. However, ...
Abstract: Existing unsupervised salient object detection (USOD) methods usually rely on low-level saliency priors, such as center and background priors, to detect salient objects, resulting in ...
Abstract: Spatial computing could change our interaction with the physical world, yet development tools still largely apply to outdated methods, representing 3D objects with 2D text in code editors.
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