562 Open source projects that are alternatives of or similar to image-segmentation

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)

Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation

DeepLabv3 built in TensorFlow

image (semantic segmentation) instance segmentation by darknet or yolo

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

No description or website provided.

FC-DenseNet in PyTorch for Semantic Segmentation

Another pytorch implementation of FCN (Fully Convolutional Networks)

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

DeepLab-ResNet rebuilt in Pytorch

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.

Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt

proof-of-concept program that detects rail-track with semantic segmentation for autonomous train system

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Source code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning".

TFslim based semantic segmentation models, modular&extensible boutique design

A pointnet++ fork, with focus on semantic segmentation of differents datasets

C++ based toolbox for the SUNCG dataset

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

SegNet implementation & experiments in Chainer

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

unet_keras use image Semantic segmentation

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

parsing scene images with understanding geometric perspective in the loop

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.

Open solution to the Data Science Bowl 2018

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Collection of computer vision models, ready to be included in a JVM project

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Urban change model designed to identify changes across 2 timestamps

DL & CV & Neural Network

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)

A collection of deep learning models (PyTorch implemtation)

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

A simpler way of reading and augmenting image segmentation data into TensorFlow

Deep learning for audio denoising

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

RefineNet-101 VOC in PyTorch

Redesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

Model for document segmentation trained on the midv-500-models dataset.

[ICIP 2019] : This is the official github repository for the paper "What's There in The Dark" accepted in IEEE International Conference in Image Processing 2019 (ICIP19) , Taipei, Taiwan.

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"

Semantic Scene Completion

DeepLab-LargeFOV implemented in tensorflow

A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method

Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

Using modified BiSeNet for face parsing in PyTorch