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Found 4 papers, 3 papers with code
Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic Grasping
Object segmentation for robotic grasping under dynamic conditions often faces challenges such as occlusion, low light conditions, motion blur and object size variance.
A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment
To the best of our knowledge, this densely annotated and 3D spatial-temporal event-based segmentation benchmark of tabletop objects is the first of its kind.
Multi-Modal MRI Reconstruction Assisted with Spatial Alignment Network
However, we find that the performance of the aforementioned multi-modal reconstruction can be negatively affected by subtle spatial misalignment between different modalities, which is actually common in clinical practice.
Neuromorphic Event-Based Slip Detection and suppression in Robotic Grasping and Manipulation
In this paper, a novel dynamic vision-based finger system for slip detection and suppression is proposed.
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