Detectron.pytorchA pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
JejunetReal-Time Video Segmentation on Mobile Devices with DeepLab V3+, MobileNet V2. Worked on the project in 🏝 Jeju island
SipmaskSipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)
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
NnunetNo description or website provided.
GuidedLabellingExploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17
Mask-Propagation[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code 🌟. Semi-supervised video object segmentation evaluation.
PyTorch-UNetPyTorch Implementation for Segmentation and Saliency Prediction
LSDNNA robust laser stripe extraction method for structured-light vision sensing
ArabicProcessingCogA Python package that do stemming, tokenization, sentence breaking, segmentation, normalization, POS tagging for Arabic language.
dilation-kerasMulti-Scale Context Aggregation by Dilated Convolutions in Keras.
cellcountA Convolutional Neural Network for Segmenting and Counting Cells in Microscopy Images
nlp-pureNatural language processing algorithms implemented in pure Ruby with minimal dependencies
PAPCPAPC is a deep learning for point clouds platform based on pure PaddlePaddle
HyperDenseNet pytorchPytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation
adaptive-segmentation-mask-attackPre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).
VOS-Paper-ListSemi-Supervised Video Object Segmentation(VOS) Paper List
BaysorBayesian Segmentation of Spatial Transcriptomics Data
deepflash2A deep-learning pipeline for segmentation of ambiguous microscopic images.
XNetCNN implementation for medical X-Ray image segmentation
pointnet2-pytorchA clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.
acdc segmenterPublic code for our submission to the 2017 ACDC Cardiac Segmentation challenge
pyconvsegnetSemantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
x-forcewinning sloution of Digtial Manfacturing Algorithm Competition II of JinNan Tianjin
LineSegmLine Segmentation of Handwritten Documents using the A* Path Planning Algorithm
shellnetShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
lite.ai.toolkit🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.
TNSCUI2020-Seg-Rank1stThis is the source code of the 1st place solution for segmentation task in MICCAI 2020 TN-SCUI challenge.
Image-Processing-in-PythonThis repository contains the links to the article that I wrote on Medium pertaining to Image processing.
segmenter[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
Segmentation-Series-ChaosSummary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.
pedxPython tools for working with PedX dataset.
torch-points3dPytorch framework for doing deep learning on point clouds.
LightNetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
DSegInvariant Superpixel Features for Object Detection