Abstract: In industrial bin-picking, robotic systems must estimate the poses of multiple object instances, where accurate pose estimation is essential for reliable downstream manipulation and grasping ...
We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...
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 ...
Abstract: Dual quadrics as landmarks in object-oriented SLAM have recently attracted much attention due to the advantages in the mathematical completeness of projective geometry. Current researches ...
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