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Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(2023)

Cited 12|Views39
Key words
architectural complexity,architectural constraints,computational complexity,computer vision,deep learning-driven vision systems,embedded multitask learning,fast GraspNeXt network design,fast self-attention neural network architecture,generative network architecture search strategy,mean squared error,MSE,multitask deep neural network architectures,multitask learning performance,multitask network architecture designs,NVIDIA Jetson TX2 embedded processor,real-world manufacturing,robotic arms,robotic grasping,warehouse environments
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