443 Open source projects that are alternatives of or similar to Deeplab V3 Plus Cityscapes

Deep Vessel Segmentation by Learning Graphical Connectivity

CRF-RNN PyTorch version http://crfasrnn.torr.vision

TFslim based semantic segmentation models, modular&extensible boutique design

Tensorflow implementation of the V-Net architecture for medical imaging segmentation.

DeeplabV2 segmentation in Keras.

No description or website provided.

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

C++ implementation pool for computer vision R&D projects.

Evaluation framework for testing segmentation networks in Keras

Crop/Weed Field Image Dataset

Hand detection software built with OpenCV.

A Kitti Road Segmentation model implemented in tensorflow.

MOTSFusion: Track to Reconstruct and Reconstruct to Track

An implementation of morphological contour interpolation

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

Framework for medical image segmentation using deep neural networks

Unsupervised instance segmentation via active robot interaction

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Annotation of ECG signals using deep learning, tensorflow’ Keras

PSPNet in Chainer

Image Test Time Augmentation with PyTorch!

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Pytorch implementation of convolutional neural network visualization techniques

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

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

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

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

A place for the development version of the changepoint package on CRAN.

Understanding Convolution for Semantic Segmentation

Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

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

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

An Implementation of Fully Convolutional Networks in Tensorflow.

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Deep face segmentation in extremely hard conditions

3D Unet Equipped with Advanced Deep Learning Methods

A Japanese Tokenizer for Business

Dstl Satellite Imagery Feature Detection

快速中文分词分析word segmentation

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

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

DeepSeg : 4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger

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

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

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

The code includes all the file that you need in the training stage for FCN

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

3DUNet implemented with pytorch

Generalized Data-free Universal Adversarial Perturbations

Repository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.

Multi-object image datasets with ground-truth segmentation masks and generative factors.

cGAN-based Multi Organ Nuclei Segmentation