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Found 3 papers, 2 papers with code
Asynchronous Bioplausible Neuron for Spiking Neural Networks for Event-Based Vision
Spiking Neural Networks (SNNs) offer a biologically inspired approach to computer vision that can lead to more efficient processing of visual data with reduced energy consumption.
Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural Network
In the context of robotic grasping, object segmentation encounters several difficulties when faced with dynamic conditions such as real-time operation, occlusion, low lighting, motion blur, and object size variability.
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.
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