1,335 skills found · Page 1 of 45
sergiomarotco / Network Segmentation Cheat SheetBest practices for segmentation of the corporate network of any company
shelhamer / Fcn.berkeleyvision.orgFully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
CASIA-IVA-Lab / DANetDual Attention Network for Scene Segmentation (CVPR2019)
ellisdg / 3DUnetCNNPytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
ozan-oktay / Attention Gated NetworksUse of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
orobix / Retina UnetRetina blood vessel segmentation with a convolutional neural network
torrvision / CrfasrnnThis repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
soeaver / Caffe ModelCaffe models (including classification, detection and segmentation) and deploy files for famouse networks
shekkizh / FCN.tensorflowTensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
deepmedic / DeepmedicEfficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
xiaoyufenfei / Efficient Segmentation NetworksLightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
AngeLouCN / Min Max SimilarityA contrastive learning based semi-supervised segmentation network for medical image segmentation
mattmacy / Vnet.pytorchA PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
linksense / LightNetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
XiaLiPKU / EMANetThe code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
cbaziotis / EkphrasisEkphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).
aurora95 / Keras FCNKeras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished）
uber-research / UPSNetUPSNet: A Unified Panoptic Segmentation Network
MhLiao / MaskTextSpotterV3The code of "Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting"
guosheng / RefinenetRefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
