3 papers
cs.CV2024
Scaling Graph Convolutions for Mobile Vision
William Avery, Mustafa Munir, Radu Marculescu
To compete with existing mobile architectures, MobileViG introduces Sparse Vision Graph Attention (SVGA), a fast token-mixing operator based on the principles of GNNs. However, Mob…
cs.CV2024
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs
Mustafa Munir, William Avery, Md Mostafijur Rahman +1
Vision graph neural networks (ViG) offer a new avenue for exploration in computer vision. A major bottleneck in ViGs is the inefficient k-nearest neighbor (KNN) operation used for…
cs.CV2023
MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications
Mustafa Munir, William Avery, Radu Marculescu
Traditionally, convolutional neural networks (CNN) and vision transformers (ViT) have dominated computer vision. However, recently proposed vision graph neural networks (ViG) provi…