zxshi

zxshi's Stars

• VITA-Group/GLNet

  [CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

  Language:Python34776

• junfu1115/DANet

  Dual Attention Network for Scene Segmentation (CVPR2019)

  Language:Python2.4k483

• ufoym/imbalanced-dataset-sampler

  A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

  Language:Python2.3k264

• earhian/Humpback-Whale-Identification-1st-

  https://www.kaggle.com/c/humpback-whale-identification

  Language:Python642184

• ybabakhin/kaggle_salt_bes_phalanx

  Winning solution for the Kaggle TGS Salt Identification Challenge.

  Language:Python35284

• jfzhang95/pytorch-deeplab-xception

  DeepLab v3+ model in PyTorch. Support different backbones.

  Language:Python2.9k780

• algorithm-visualizer/algorithm-visualizer

  :fireworks:Interactive Online Platform that Visualizes Algorithms from Code

  Language:JavaScript46.7k7.3k

• afshinea/stanford-cs-230-deep-learning

  VIP cheatsheets for Stanford's CS 230 Deep Learning

  6.4k1.4k

• shahsohil/sunets

  PyTorch Implementation of Stacked U-Nets (SUNets)

  Language:Python15335

• barryclark/jekyll-now

  Build a Jekyll blog in minutes, without touching the command line.

  Language:CSS8.3k35.2k

• ternaus/robot-surgery-segmentation

  Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

  Language:Jupyter Notebook623212

• tugstugi/pytorch-saltnet

  Kaggle | 9th place single model solution for TGS Salt Identification Challenge

  Language:Python27852

• bermanmaxim/LovaszSoftmax

  Code for the Lovász-Softmax loss (CVPR 2018)

  Language:Jupyter Notebook1.4k269

• szagoruyko/pytorchviz

  A small package to create visualizations of PyTorch execution graphs

  Language:Jupyter Notebook3.2k279

• martinkersner/py-img-seg-eval

  Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation

  Language:Python28283

• ucbdrive/dla

  Code for the CVPR 2018 Oral Paper "Deep Layer Aggregation"

  Language:Python43487

• zlckanata/DeepGlobe-Road-Extraction-Challenge

  D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction

  Language:Python644194

• anxiangsir/urban_seg

  Remotes Sensing Semantic Segmentation

  Language:Python412138

• AstarLight/Satellite-Segmentation

  Language:Python617233

• karolmajek/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Jupyter Notebook606194