📌 This repository is a collection of all sub-repositories each of which has been been developed to solve a specific objective set by this research. The repositories are organized as follows:
LabelNoise: Implementatoin to simulate of label noise and then prepare the dataset for training and comparison.
SegHead: Efficient semantic segmentation Head with lower memory footprint and compute requirement without comprimising model performance.
TransFusion: Implementation TranFusion, a transformer based multimodal network for fusing Image and 3D point cloud further improving 2D semaantic segmentation.
SOTA-Test: This repository contains implementations of various SOTA models for quantitative comparison and benchmarking purposes.
MMEO, 1.0 (R)
If you use this repository please consider citing:
@phdthesis{MaitiPhDThesis,
title = {{Multi-Modal Earth Observation and Deep Learning for Urban Scene Understanding}},
ISBN = {9789036560290},
url = {https://doi.org/10.3990/1.9789036560290},
DOI = {10.3990/1.9789036560290},
school = {University Library/University of Twente},
author = {Maiti, Abhisek}
}
