TensorFlow-based semantic segmentation codes.

An approach for pixel-based classification of drivable parts of the road (known as Semantic Segmentation). Project 12 of Udacity's Self-Driving Car Engineer Nanodegree Program.

Semantic segmentation model with the fusion of deeplabv3plus, hed and attention loss

This repository containis code for semantic segmentation of satellite image using U-Net architecture.

Diabetic retinpopath classfiction using trnasfer learning and Data augmentation

Lightweight Neural Network for Semantic Segmentation using Knowledge Distillation (Accepted by AICAS 2022)

Self-Supervised Semantic Segmentation with Object Detection and Depth Estimation

Minimalistic Image Labelling Framework (MILF): A simple utility for pixel-wise image annotations.

HISDF (Human Instance, Skeleton, and Depth Fusion) is a unified model that fuses human instance segmentation, skeletal structure estimation, and depth prediction to achieve holistic human perception from visual input.

Multi-Task Learning

Tree Species Segmentation in High-Resolution Aerial Imagery

Multi-Class Semantic Segmentation on India's Satellite Images.This project addresses the broader issue of semantic segmentation of satellite images by aiming at classifying each pixel as belonging to a Building & Road or not. We developed a Convolutional Neural Network suitable for this task, inspired from the U-net [7]. We trained our model on …

Deep Learning Annotation Tool for Images and Image Sequences targeted for training Semantic Segmentation DNNs

Tensorflow Human Behavior Prediction Engine

Neuroevolution of efficient neural networks for semantic segmentation

Ultraound-Guided Regional Anaesthesia semantic SEGmentation machine learning models

PyTorch for Semantic Segmentation

Kaggle Machine Learning computer vision project

exercise for pytorch