Some notes from various research papers

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.

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

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.

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

CVPR2018 - scene parsing network regulated by geometric prior