443 Open source projects that are alternatives of or similar to Bisenet

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Pytorch code for semantic segmentation using ERFNet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Switchable Normalization for semantic image segmentation and scene parsing.

BlindAssist iOS app

Lightweight 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.)

Semantic Human Matting

SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

Github repository for the paper End-to-end Animal Image Matting

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

Image Test Time Augmentation with PyTorch!

unet for image segmentation

A Thai word tokenization library using Deep Neural Network

Self-contained Japanese Morphological Analyzer written in pure Go

Intel / AMD CPU Internals

Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

BCDU-Net : Medical Image Segmentation

[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829

PyTorch Boilerplate For Research

ICCV2019最新录用情况

Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects

快速中文分词分析word segmentation

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"

Understanding Convolution for Semantic Segmentation

CNN-based audio segmentation toolkit. Allows to detect speech, music and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

一个纯php分词

Code for https://arxiv.org/abs/1611.10080

High-performance Vision library in Python. Scale your research, not boilerplate.

This repository contains the source code of our work on designing efficient CNNs for computer vision

A lean C++ library for working with point cloud data

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

Deep face segmentation in extremely hard conditions

[ECCV'20] Ocean: Object-aware Anchor-Free Tracking

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Segmentation models with pretrained backbones. PyTorch.

A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

Code for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

DilatedNet in Keras for image segmentation

🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.

FSGAN - Official PyTorch Implementation

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, AB tests, machine learning, and Monte Carlo Markov Chain simulations, extending Pandas, Networkx and sklearn.

A Japanese Tokenizer for Business

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.