Mask R-CNN
An instance segmentation deep learning model proposed by Facebook AI Research. It extends object detection to support pixel-level segmentation of individual instances within an image.
Timeline (last 90 days)
Image segmentation is divided into semantic segmentation (such as U-Net and DeepLab) and instance segmentation (such as Mask R-CNN).
Image segmentation is commonly achieved using semantic segmentation models in deep learning such as U-Net or Mask R-CNN, which determine pixel by pixel which regions belong to the bird's main body.
传统实例分割网络如Mask R-CNN在高遮挡率下性能会显著下降
All Facts (3)
Image segmentation is divided into semantic segmentation (such as U-Net and DeepLab) and instance segmentation (such as Mask R-CNN).
50%UnverifiedImage segmentation is commonly achieved using semantic segmentation models in deep learning such as U-Net or Mask R-CNN, which determine pixel by pixel which regions belong to the bird's main body.
50%Unverified传统实例分割网络如Mask R-CNN在高遮挡率下性能会显著下降
50%