DFANet

Semantic segmentation model

An implementation of a deep learning model for real-time semantic segmentation

reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

GitHub

255 stars
10 watching
66 forks
Language: Python
last commit: over 6 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
zhujun98/semantic_segmentationImplementations of deep learning architectures for semantic segmentation of images in various datasets.6
zijundeng/pytorch-semantic-segmentationProvides PyTorch implementations of various models and pipelines for semantic segmentation in deep learning.1,729
kaixhin/fcn-semantic-segmentationAn implementation of semantic segmentation using fully convolutional networks188
akirasosa/mobile-semantic-segmentationReal-time semantic segmentation for mobile devices using deep learning and MobileNetV2 architecture715
zhengpeng7/birefnetAn open-source implementation of an image segmentation model that combines background removal and object detection capabilities.1,484
speedinghzl/ccnetAn implementation of a deep learning model for semantic segmentation using a novel attention mechanism to capture long-range dependencies in images.1,432
abbypa/nnproject_deepmaskA deep learning implementation of an object segmentation algorithm.187
fregu856/segmentationAn implementation of the ENet model for semantic segmentation in images, trained on the Cityscapes dataset.245
tangzhenyu/semanticsegmentation_dlA collection of resources and implementations for deep learning-based semantic segmentation in computer vision.1,109
davidtvs/pytorch-enetA PyTorch implementation of a real-time semantic segmentation model using ENet architecture392
xiaoyufenfei/lednetA lightweight deep learning framework for real-time semantic segmentation514
pavlosmelissinos/enet-kerasAn implementation of a deep neural network architecture for real-time semantic segmentation in Python.115
javeywang/pyramid-attention-networks-pytorchAn implementation of a deep learning model using PyTorch for semantic segmentation tasks.237
wasidennis/adaptsegnetThis project implements a deep learning-based approach to adapt semantic segmentation models from one domain to another.851
tramac/fast-scnn-pytorchA PyTorch implementation of a deep learning model for semantic segmentation tasks in computer vision.380