[ECCV-2020-oral]-Semantic Flow for Fast and Accurate Scene Parsing

Implementation of Pyramid Attention Networks for Semantic Segmentation.

A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

Code for several state-of-the-art papers in object detection and semantic segmentation.

[4-5 FPS / Core m3 CPU only] [11 FPS / Core i7 CPU only] OpenVINO+DeeplabV3+LattePandaAlpha/LaptopPC. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+Tensorflow v1.11.0+OpenCV3.4.3+PIL

Caffe fork that supports CRF-RNN

[1 FPS / CPU only] OpenVINO+ADAS+LattePandaAlpha. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+OpenCV3.4.3+PIL

Cutting most types of maps in smaller more meaningful bits.

This repository provides the official implementation for the publication "Abstract Flow for Temporal Semantic Segmentation on the Permutohedral Lattice"

Question-Answering App Over Your Own Data with LLamaindex and ElasticSearch !

Code for Human Segmentation in Surveillance Video with Deep Learning

Segmentation pipeline with several models. implemented in tensorflow 2.1 without copied code

Code for the paper "Reinforced Active Learning for Image Segmentation", adapted to the medical domain for 3D anatomical and pathological segmentation.

Domain Adaptation for semantic segmentation

3D reconstruction + 3D open vocablurary semantic segmentation all in onece

PASTECA project - Land cover mapping with deep learning

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

Segmentation using DeepLabV3+

Tensorflow v1.11.0 and Python3.x compatible of ENet. GPU/CPU.