Abstract: Oriented object detection (OOD) in remote sensing images (RSIs) remains a challenging work due to an arbitrary orientation of instances. Learning rotation-invariant features is critical in ...
Abstract: Oriented object detection in aerial images has made significant advancements propelled by well-developed detection frameworks and diverse representation approaches to oriented bounding boxes ...
This repository contains the code implementation for the OS-TOG framework from the RA-L paper "One-shot Learning for Task-oriented Grasping". The One-shot Task-oriented Grasping (OS-TOG) framework ...
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