Vision

45 resources · page 2 of 2

• EfficientNet

  Creator not supplied; see original source.

  ICML 2019 paper (PDF) EfficientNet: scaling convolutional networks by depth, width and resolution.

  Advanced–Expert · unknown · unknown resource · und

• Faster R-CNN

  Creator not supplied; see original source.

  NeurIPS paper (PDF, 2015) Faster R-CNN: real-time object detection with region proposal networks.

  Advanced–Expert · unknown · unknown resource · zh

• Inception / GoogLeNet

  Creator not supplied; see original source.

  arXiv PDF of the GoogLeNet paper (2014) introducing the Inception architecture.

  Advanced–Expert · unknown · unknown resource · und

• Mask R-CNN

  Creator not supplied; see original source.

  arXiv paper (2017) "Mask R-CNN", introducing Mask R-CNN for instance segmentation.

  Advanced–Expert · unknown · unknown resource · en

• MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

  Creator not supplied; see original source.

  arXiv PDF of the MobileNets paper (2017) on efficient convolutional networks for mobile vision.

  Advanced–Expert · unknown · unknown resource · und

• Moirai

  Creator not supplied; see original source.

  arXiv PDF of the Moirai paper (2024), Salesforce's universal time-series forecasting transformer.

  Advanced–Expert · unknown · unknown resource · und

• ResNet

  Creator not supplied; see original source.

  arXiv paper (2015) "Deep Residual Learning for Image Recognition", introducing ResNet residual networks.

  Advanced–Expert · unknown · unknown resource · en

• SAM

  Creator not supplied; see original source.

  arXiv paper (2023) introducing Segment Anything (SAM), a promptable image segmentation model and dataset.

  Advanced–Expert · unknown · unknown resource · en

• A decoder-only foundation model for time-series forecasting (TimesFM)

  Creator not supplied; see original source.

  arXiv paper (2023) introducing TimesFM, a decoder-only foundation model for time-series forecasting.

  Advanced–Expert · unknown · unknown resource · en

• U-Net

  Creator not supplied; see original source.

  arXiv paper (2015) "U-Net: Convolutional Networks for Biomedical Image Segmentation", introducing the encoder-decoder architecture with skip connections.

  Advanced–Expert · unknown · unknown resource · en

• VGG

  Creator not supplied; see original source.

  arXiv PDF of the VGG paper (2014) on very deep convolutional networks for large-scale image recognition.

  Advanced–Expert · unknown · unknown resource · und

• ViT

  Creator not supplied; see original source.

  arXiv paper (2020) introducing the Vision Transformer (ViT) for image recognition.

  Advanced–Expert · unknown · unknown resource · en

• YOLO

  Creator not supplied; see original source.

  arXiv paper (2015) "You Only Look Once: Unified, Real-Time Object Detection", introducing YOLO, a single-stage real-time object detector.

  Advanced · unknown · unknown resource · en

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