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ENTITY EfficientNet

EfficientNet

PulseAugur coverage of EfficientNet — every cluster mentioning EfficientNet across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 7 TOTAL
  1. TOOL · CL_72779 ·

    Deep learning models accurately stage AMD using OCT and OCTA scans

    Researchers have developed deep learning models to automatically stage age-related macular degeneration (AMD) using optical coherence tomography (OCT) and OCT angiography (OCTA) data. The models demonstrated strong perf…

  2. TOOL · CL_44708 ·

    Deep Learning Models Achieve 98% Accuracy in COVID-19 Image Classification

    Researchers have conducted a comprehensive comparison of various deep learning architectures for classifying COVID-19 from CT and X-ray lung imagery. The study utilized pre-trained models including VGG, Densenet, Resnet…

  3. TOOL · CL_40785 ·

    StableGrad stabilizes deep neural network training without batch normalization

    Researchers have introduced StableGrad, a novel optimizer-level mechanism designed to control the scale of activations and gradients in deep neural networks. This method aims to prevent training instability without rely…

  4. TOOL · CL_26558 ·

    CNN architecture evolution driven by depth, scaling, and training recipes

    A recent analysis delves into the evolution of Convolutional Neural Network (CNN) architectures, specifically examining ResNet, EfficientNet, and ConvNeXt. The author investigates whether advancements in state-of-the-ar…

  5. RESEARCH · CL_15541 ·

    New model anchors momentum to improve long-tailed chest X-ray classification

    Researchers have developed a new model called the Momentum-Anchored Multi-Scale Fusion Network to address class imbalance in chest X-ray classification. This model uses exponential moving averages to stabilize feature r…

  6. RESEARCH · CL_06417 ·

    Deep learning model generates lunar elevation maps from single satellite images

    Researchers have developed LunarDepthNet, a novel deep learning model designed to generate detailed Digital Elevation Models (DEMs) of the lunar surface using monocular satellite images. The model employs a UNet archite…

  7. RESEARCH · CL_04766 ·

    Spark+AI Summit 2020: Notes cover feature engineering, data quality, and model efficiency

    Eugene Yan's notes from the Spark+AI Summit 2020 cover practical applications and agnostic talks in deep learning and data engineering. Application-specific sessions highlighted frameworks like Airbnb's Zipline for feat…