Some notes from various research papers

Examples and workflows for Flash LiDAR point cloud processing using MATLAB. This repository demonstrates vehicle detection in Flash LiDAR data through deep learning models for object detection and semantic segmentation in both 2D and 3D. Includes sample code for point cloud operations, training pipelines, and a public dataset available for download

Tool to create ground truth semantic segmentation masks using super pixels

CCP dataset from "Clothing Co-Parsing by Joint Image Segmentation and Labeling " (CVPR 2014)

ECCV14 Simultaneous Detection and Segmentation

Convert SYNTHIA data to Equirectangular format

[CVPR-2018] Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation

DeepLab v3+ and Floral-Net, a U-Net inspired CNN, for segmenting flowers and backgrounds in the Oxford Flower Dataset, enhancing accuracy through tailored architecture and class imbalance handling.

Medical Imaging with AI

A Lightweight Encoder-Decoder Network for LiDAR-based Road- Object Semantic Segmentation

This example shows how to train a semantic segmentation network using deep learning.

Generate car images from segmentation maps using single car image segmentation dataset.

ICIP 2019 paper

Semantic neural network to realize pixel-wise classification of 2D nano-material using Matlab

DeepLabv3+ inference and training in MATLAB for Semantic Segmentation

Semantic segmentation and transfer learning using pretrained SalsaNext model in MATLAB

Domain Adaptation for Semantic Segmentation at Nighttime

Dataset and Evaluation Scripts for Obstacle Detection via Semantic Segmentation in a Marine Environment