Semantic Segmentation on Cityscapes using Segmentation Models Pytorch
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Updated
Jan 27, 2023 - Python
Semantic Segmentation on Cityscapes using Segmentation Models Pytorch
A full deep learning pipeline for satellite image semantic segmentation (originally designed for detection of built structures) using Segmentation Models PyTorch.
This repository contains the code to train a custom DGCNN segmentation model on 3D point cloud data and carry out post-processing to filter these point clouds from the k-regular graphs produced by the model.
Implementing FCN & U-Net from scratch, then scaling with segmentation_models_pytorch — covering binary and multi-class segmentation on real-world datasets. / FCN, U-Net 논문 직접 구현부터 SMP 라이브러리 활용까지 — 실제 데이터셋으로 이진/다중 클래스 세그멘테이션을 단계적으로 학습한 기록.
Config-first semantic segmentation toolkit for training, evaluation, and image/video inference from reusable YAML workflows.
Deep Hierarchical Semantic Segmentation — Pixel-Wise Classification with Multi-Level Labels
Multi-class brain tumor segmentation from MRI using 3D Attention U-Net
Code accompanying the paper "Comprehensive evaluation of cross-cancer generalization in histopathology segmentation models across 21 tumor types." Includes annotation scripts, segmentation inference, manual scoring app, and statistical analysis.
This project offers an easy, flexible, modular PyTorch implementation for semantic segmentation to minimize configuration, automate training and deployment, and enable customization of models, encoders, losses and datasets through its modular design.
A General Tracking Framework for ML-based Time-Symmetric Tracking.
基于 PyTorch 的皮肤病灶分割实验框架,支持 U-Net 系列、Kaggle GPU 训练、评估、可视化与 Gradio。 / Reproducible PyTorch framework for skin lesion segmentation with U-Net models, Kaggle GPU training, evaluation, visualization, and Gradio.
Custom deep learning model for 3D medical image segmentation, enhancing the UNETR architecture with lightweight attention gates on its skip connections. This proof-of-concept aimed to improve how the model combines features from different resolution levels. Experiments on MRI scans suggest this could be effective with larger training setups.
A hands-on PyTorch semantic segmentation lab for beginners, with runnable training, model and dataset switching, custom extensions, and bilingual guides
Dense Prediction Vision Transformer (DPT) - ADE20K Reimplementation
We are Team RJAC and this repo is for the prototype phase for Edge AI Innovation Challenge 2024 hosted by DigiToad Technologies in collaboration with STMicroelectronics.
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