Implement Panoptic FPN to Tackle Down Panoptic Segmentation for Cityscapes Dataset
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Updated
Jun 20, 2025 - Python
Implement Panoptic FPN to Tackle Down Panoptic Segmentation for Cityscapes Dataset
MTLA - Multi-Task Learning Archive
The repository contains synthetic dusk images of cityscape dataset. The datset was synthesized using UNIT GAN.
This repository contains the official implementation of P2AT, a novel architecture designed for real-time semantic segmentation. P2AT achieves trade-off between accuracy and speed, establishing state-of-the-art results on Cityscapes and CamVid (pretrained on Cityscapes) without relying on inference acceleration techniques.
Official implementation of Inconsistency Masks. A robust semi-supervised segmentation framework that reframes model disagreement as a signal for uncertainty filtering. It acts as a general performance enhancer for SOTA models and a stabilizer for training from scratch.
U-Net based PyTorch model for roads segmentation trained on Cityscapes dataset
Segmentation pipeline that uses a U-Net backbone to perform segmentation on the Cityscapes dataset. Conducted experiments to analyse the impact of the skip connections of the U-Net on the quality of the segmentation masks. These masks are also qualitatively analysed using the Intersection-over-Union (IoU) metric
Master Thesis, Politecnico di Milano, A. Y. 2022/23, Computer Science and Engineering
This is my repository for my final project -> Semantic Segmentation of Cityscapes datasets using U-Net.
Pytorch Implementation of U-Net on Cityscapes Dataset
Final Project for Deep Learning Course A.Y. 2022/23. Semantic Segmentation on Cityscapes Dataset
A semantic segmentation model for urban scene understanding using DashCam footage and the CityScape dataset.
DSANet: Dilated Spatial Attention for Real-time Semantic Segmentation in Urban Street Scenes
Camera-Invariant Domain Adaptation (Semantic Segmentation)
Python program to visualize Deeplab (trained on Cityscapes dataset) results.
Compact Semantic Segmentation and Depth Estimation with Multi-task Learning
Collection of scripts for preparation of datasets for semantic segmentation of UAV images
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