This AI Paper from The University of Sydney Proposes EfficientVMamba: Bridging Accuracy and Efficiency in Lightweight Visual State Space Models

In the evolving landscape of computer vision, the quest for models that adeptly navigate the tightrope between high accuracy and low computational cost has led to significant strides. The field has oscillated between Convolutional Neural Networks (CNNs) and Transformer-based architectures, each with unique strengths and limitations. CNNs have been lauded for their ability to extract […]

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