PinnedZubairinGoPenAIVision Transformer (ViT) OverviewVision Transformer (ViT) is a novel approach to image classification that leverages the transformer architecture, which has been highly…Jul 12Jul 12
PinnedZubairinThe Deep HubDETR (DEtection TRansformers) OverviewDETR (DEtection TRansformers) is a object detection model introduced by Facebook AI Research. It redefines the conventional object…Jul 12Jul 12
ZubairinThe Deep HubFBNet OverviewFBNet (Facebook Berkeley Network) is a family of neural network architectures designed for efficient deployment on mobile and edge devices…Jul 26Jul 26
ZubairinGoPenAIESPNetv2 OverviewESPNetv2 is an efficient convolutional neural network designed for edge devices and real-time applications. It is the successor to ESPNet…Jul 26Jul 26
ZubairNetAdapt OverviewNetAdapt is an adaptive neural network optimization method designed to automate the process of making neural networks more efficient for…Jul 19Jul 19
ZubairinThe Deep HubMorphNet OverviewMorphNet is a neural network architecture optimization technique designed to adaptively optimize the structure of a neural network to…Jul 19Jul 19
ZubairConvolutional Block Attention Module (CBAM) OverviewConvolutional Block Attention Module (CBAM) is a lightweight, general-purpose attention module that can be integrated into any…Jul 19Jul 19
ZubairinGoPenAIBottleneck Attention Module (BAM) OverviewBottleneck Attention Module (BAM) is a neural network component designed to enhance the representational power of convolutional neural…Jul 17Jul 17
ZubairShuffleNet V2 OverviewShuffleNet V2 is a convolutional neural network architecture designed for efficient computation on mobile and embedded devices. Introduced…Jul 17Jul 17