PinnedZubairVision Transformer (ViT) OverviewVision Transformer (ViT) is a novel approach to image classification that leverages the transformer architecture, which has been highly…6d ago6d ago
PinnedZubairDETR (DEtection TRansformers) OverviewDETR (DEtection TRansformers) is a object detection model introduced by Facebook AI Research. It redefines the conventional object…6d ago6d ago
ZubairBottleneck Attention Module (BAM) OverviewBottleneck Attention Module (BAM) is a neural network component designed to enhance the representational power of convolutional neural…2d ago2d ago
ZubairShuffleNet V2 OverviewShuffleNet V2 is a convolutional neural network architecture designed for efficient computation on mobile and embedded devices. Introduced…2d ago2d ago
ZubairPNASNet OverviewProgressive Neural Architecture Search Network (PNASNet) is a type of neural network architecture discovered through an automated…2d ago2d ago
ZubairEfficient Neural Architecture Search (ENAS) OverviewEfficient Neural Architecture Search (ENAS) is a method designed to automate the design of neural network architectures, making the process…2d ago2d ago
ZubairinThe Deep HubGroup Normalization (GN) OverviewGroup Normalization (GN) is a technique used to normalize the features in a neural network, particularly useful when training with small…2d ago2d ago
ZubairSqueezeNext OverviewSqueezeNext is a highly compact and efficient convolutional neural network architecture designed for image classification tasks. It is a…3d ago3d ago
ZubairResNet-38 Detailed OverviewResNet-38 is a deep convolutional neural network architecture designed for image classification and semantic segmentation tasks. It is a…3d ago3d ago