Alternatives and similar repositories for SegNet-Semantic-Segmentation

Users that are interested in SegNet-Semantic-Segmentation are comparing it to the libraries listed below

• ayushdabra / drone-images-semantic-segmentation
  Multi-class semantic segmentation performed on "Semantic Drone Dataset."
  ☆82Updated 3 years ago
• BioWar / Satellite-Image-Segmentation-using-Deep-Learning-for-Deforestation-Detection
  ☆20Updated 5 months ago
• dilaraozdemir / satellite-image-classification-pytorch
  Image classification on Satellite Dataset-RSI-CB256 with torchvision models.
  ☆22Updated 2 years ago
• ayushdabra / dubai-satellite-imagery-segmentation
  Multi-Class Semantic Segmentation on Dubai's Satellite Images.
  ☆83Updated 2 years ago
• gicait / centroid-unet
  Centroid-UNet is deep neural network model to detect centroids from satellite images.
  ☆32Updated 3 years ago
• vinceecws / SegNet_PyTorch
  PyTorch implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  ☆64Updated 2 years ago
• BinaLab / FloodNet-Challenge-EARTHVISION2021
  ☆58Updated 4 years ago
• arbit3rr / UNet-AerialSegmentation
  A PyTorch implementation of U-Net for aerial imagery semantic segmentation.
  ☆81Updated 3 years ago
• antoine-spahr / Deep-Satellite-Image-Segmentation
  Deep Semangtic segmentation of Worldview-3 satellite images using a U-net (DSTL kaggle competition)
  ☆27Updated 5 years ago
• koechslin / Swin-Transformer-Semantic-Segmentation
  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation…
  ☆38Updated 3 years ago
• liyongqingupc / MCAN-OilSpillDetection
  ☆16Updated 2 years ago
• ArkaJU / U-Net-Satellite
  Road Detection from satellite images using U-Net.
  ☆56Updated last year
• BinaLab / FloodNet-Supervised_v1.0
  ☆83Updated last year
• aavek / Satellite-Image-Road-Segmentation
  Graph Reasoned Multi-Scale Road Segmentation in Remote Sensing Imagery
  ☆22Updated last year
• michal2409 / xView2
  Image segmentation models for building localization and damage assessment based on satellite imagery from the xBD dataset which was used …
  ☆44Updated last year
• awangenh / Weed-Mapping
  Weed Mapping in Aerial Images through Identification and Segmentation of Crop Rows and Weeds using Convolutional Neural Networks
  ☆47Updated 5 years ago
• computervisioneng / train-object-detector-detectron2
  ☆26Updated 2 years ago
• orion29 / Satellite-Image-Segmentation-for-Flood-Damage-Analysis
  Satellite Image Segmentation for Flood Detection and Analysis using UNET with Resnet-34 as the back bone.
  ☆42Updated 4 years ago
• Mulham91 / Multi-Spectral-Image-Synthesis-for-Crop-Weed-Segmentation-in-Precision-Farming
  In this work, we propose an alternative solution with respect to the common data augmentation techniques, applying it to the fundamental…
  ☆17Updated last year
• JenAlchimowicz / Semantic-segmentation-with-PyTorch-Satellite-Imagery
  Project developed for a Kaggle Competition organised by CentraleSupelec Deep Learning course. Final result: 1st place
  ☆36Updated 2 years ago
• iDataVisualizationLab / roaddamagedetector
  ☆14Updated 4 years ago
• microsoft / building-damage-assessment-cnn-siamese
  ☆62Updated 10 months ago
• annabosman / UNet-based-Unsupervised-Change-Detection
  Convolutional NN for change detection
  ☆23Updated 5 years ago
• nikhilroxtomar / Semantic-Segmentation-Architecture
  A repository contains the code for various semantic segmentation in TensorFlow and PyTorch framework.
  ☆158Updated 3 weeks ago
• ntelo007 / road_detection_mtl
  Road Detection from Remote Sensing Imagery using Deep Learning Techniques
  ☆19Updated 2 years ago
• ad-1 / u-net-aerial-imagery-segmentation
  Semantic Segmentation of MBRSC Aerial Imagery of Dubai Using a TensorFlow U-Net Model in Python
  ☆21Updated 2 years ago
• kerrgarr / SemanticSegmentationCityscapes
  A simple image segmentation model called ‘my_FCN’ is compared with a conventional U-Net architecture and DeepLabV3+ on a subset of the Ci…
  ☆8Updated 2 years ago
• Rumeysakeskin / EuroSat-Satellite-CNN-and-ResNet
  Classifying custom image datasets by creating Convolutional Neural Networks and Residual Networks from scratch with PyTorch
  ☆24Updated 2 years ago
• zgzxy001 / MSNET
  Dataset and Code for MSNet
  ☆36Updated 3 years ago
• JaneKravchenko / EarthquakeDamageDetection
  Buildings segmentation from satellite imagery and damage classification for each build
  ☆26Updated 6 years ago