• U-Net

  • Referenced in 133 articles [sw33176]
  • Convolutional networks for biomedical image segmentation. There is large consent that successful training of deep ... trained end-to-end from very few images and outperforms the prior best method ... convolutional network) on the ISBI challenge for segmentation of neuronal structures in electron microscopic stacks ... Moreover, the network is fast. Segmentation of a 512x512 image takes less than a second...
  • BSDS

  • Referenced in 193 articles [sw14427]
  • Benchmark. A database of human segmented natural images and its application to evaluating segmentation algorithms...
  • GrabCut

  • Referenced in 116 articles [sw15842]
  • problem of efficient, interactive foreground/background segmentation in still images is of great ... practical importance in image editing. Classical image segmentation tools use either texture (colour) information...
  • NeTra

  • Referenced in 63 articles [sw14887]
  • shape and spatial location information in segmented image regions to search and retrieve similar regions ... incorporation of a robust automated image segmentation algorithm that allows object- or region-based search ... Image segmentation significantly improves the quality of image retrieval when images contain multiple complex objects ... regions are computed. In addition to image segmentation, other important components of the system include...
  • SIMPLIcity

  • Referenced in 87 articles [sw14893]
  • integrated region matching based upon image segmentation. An image is represented...
  • DeepLab

  • Referenced in 40 articles [sw15303]
  • DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs ... address the task of semantic image segmentation with Deep Learning and make three main contributions ... atrous spatial pyramid pooling (ASPP) to robustly segment objects at multiple scales. ASPP probes ... PASCAL VOC-2012 semantic image segmentation task, reaching 79.7% mIOU in the test...
  • Image Processing Toolbox

  • Referenced in 35 articles [sw13352]
  • development. You can perform image analysis, image segmentation, image enhancement, noise reduction, geometric transformations...
  • spatstat

  • Referenced in 143 articles [sw04429]
  • include point patterns, line segment patterns, spatial windows, pixel images and tessellations. Exploratory methods include...
  • SegNet

  • Referenced in 27 articles [sw27575]
  • deep convolutional encoder-decoder architecture for image segmentation. We present a novel and practical deep...
  • drp-benchmarks

  • Referenced in 26 articles [sw34611]
  • Digital rock physics benchmarks—Part I: Imaging and segmentation. Highlights: We propose four rock microstructure...
  • MobileNetV2

  • Referenced in 17 articles [sw41926]
  • demonstrate how to build mobile semantic segmentation models through a reduced form of DeepLabv3 which ... Imagenet classification, COCO object detection, VOC image segmentation. We evaluate the trade-offs between accuracy...
  • CGAL

  • Referenced in 403 articles [sw00118]
  • modeling, geographic information systems, molecular biology, medical imaging, robotics and motion planning, mesh generation, numerical ... points, 2D additively weighted Voronoi diagrams, and segment Voronoi diagrams), polygons (Boolean operations, offsets, straight...
  • SymNMF

  • Referenced in 15 articles [sw12668]
  • document clustering, image clustering, and image segmentation support SymNMF as a graph clustering method that...
  • V-Net

  • Referenced in 9 articles [sw35860]
  • Convolutional Neural Networks for Volumetric Medical Image Segmentation. Convolutional Neural Networks (CNNs) have been recently ... from both the computer vision and medical image analysis fields. Despite their popularity, most approaches ... propose an approach to 3D image segmentation based on a volumetric, fully convolutional, neural network...
  • PASCAL VOC

  • Referenced in 150 articles [sw36507]
  • components: (i) a publicly available dataset of images together with ground truth annotation and standardised ... workshop. There are five challenges: classification, detection, segmentation, action classification, and person layout. In this ... algorithms so that the hard and easy images can be identified...
  • CECM

  • Referenced in 12 articles [sw06446]
  • particular, an application to medical image segmentation is presented...
  • SimVascular

  • Referenced in 18 articles [sw25043]
  • provides a complete pipeline from medical image data segmentation to patient-specific blood flow simulation ... enhance functionality, usability, efficiency and accuracy of image-based patient-specific modeling tools. Moreover, SimVascular...
  • MS-COCO

  • Referenced in 56 articles [sw32600]
  • scene understanding. This is achieved by gathering images of complex everyday scenes containing common objects ... context. Objects are labeled using per-instance segmentations to aid in precise object localization ... million labeled instances in 328k images, the creation of our dataset drew upon extensive crowd ... category detection, instance spotting and instance segmentation. We present a detailed statistical analysis...
  • MAVI

  • Referenced in 10 articles [sw17676]
  • various filters and transforms, techniques for image segmentation and object isolation, and functions for easy...
  • UNet++

  • Referenced in 6 articles [sw39982]
  • Nested U-Net Architecture for Medical Image Segmentation. UNet++ is a new general purpose image ... segmentation architecture for more accurate image segmentation. UNet++ consists of U-Nets of varying depths...