GitHub

CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving

Accurate and fast scene understanding is one of the challenging task for autonomous driving, which requires to take full advantage of LiDAR point clouds for semantic segmentation. In this paper, we ...
Nature

A drone imagery dataset for semantic segmentation of urban garden ground covers in biodiversity studies

Urban gardens promote urban biodiversity by providing diverse ground covers that support habitat provision, pollination, pest control, and soil functions. However, lacking high spatial resolution ...
Nature

Semantic segmentation of PolSAR image data using advanced deep learning model

Urban area mapping is an important application of remote sensing which aims at both estimation and change in land cover under the urban area. A major challenge being faced while analyzing Synthetic ...
Frontiers

OpSeF: Open Source Python Framework for Collaborative Instance Segmentation of Bioimages

Various pre-trained deep learning models for the segmentation of bioimages have been made available as developer-to-end-user solutions. They are optimized for ease of use and usually require neither ...
GitHub

GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild

Official Tensorflow Implementation for "GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild", U. Michieli, E. Borsato, L. Rossi, P. Zanuttigh, ECCV 2020 In this work, ...
LinkedIn

Realtime Semantic Segmentation on Jetson Nano in Python and C++

Recently I updated the Hello AI World project on GitHub with new semantic segmentation models based on FCN-ResNet18 that run in realtime on Jetson Nano, in addition to Python bindings and examples for ...