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

Implementation of Pyramid Attention Networks for Semantic Segmentation.

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

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

Caffe fork that supports CRF-RNN

[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

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"

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

Code for Human Segmentation in Surveillance Video with Deep Learning

AI核心库

Segmentation using DeepLabV3+

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

PASTECA project - Land cover mapping with deep learning

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

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

Udacity Self-Driving Car Engineer Nanodegree Semantic Segmentation Project.

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