ESPNet
Edge Semantic Segmentation Framework
A deep learning framework for semantic segmentation on edge devices.
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
542 stars
14 watching
112 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list
convolutional-neural-networksedge-devicesreal-timesemantic-segmentation
mrgloom/awesome-semantic-segmentationRelated projects:
| Repository | Description | Stars |
|---|---|---|
 timosaemann/enet | A deep neural network architecture for real-time semantic segmentation in images | 585 |
 tusimple/tusimple-duc | This project presents an approach to improving the performance of convolutional neural networks in semantic segmentation tasks | 613 |
 zhujun98/semantic_segmentation | Implementations of deep learning architectures for semantic segmentation of images in various datasets. | 6 |
 xiaoyufenfei/lednet | A lightweight deep learning framework for real-time semantic segmentation | 514 |
 cvjena/cn24 | A framework for building semantic segmentation models using convolutional patch networks | 123 |
 zijundeng/pytorch-semantic-segmentation | Provides PyTorch implementations of various models and pipelines for semantic segmentation in deep learning. | 1,729 |
 alexgkendall/caffe-segnet | An open-source implementation of the SegNet deep learning architecture for image segmentation | 1,080 |
 e-lab/enet-training | Provides tools and models for training deep neural networks for real-time semantic segmentation and scene parsing | 351 |
 tangzhenyu/semanticsegmentation_dl | A collection of resources and implementations for deep learning-based semantic segmentation in computer vision. | 1,109 |
 guosheng/refinenet | A MATLAB-based framework for semantic image segmentation and dense prediction tasks using multi-path refinement networks. | 589 |
 ooooverflow/bisenet | An implementation of a BiSeNet-based semantic segmentation algorithm using PyTorch and PyTorch's Deep Learning Framework | 395 |
 akirasosa/mobile-semantic-segmentation | Real-time semantic segmentation for mobile devices using deep learning and MobileNetV2 architecture | 715 |
 hyeonwoonoh/decouplednet | A deep learning framework for semantic segmentation using pre-trained classification networks and heterogeneous annotations | 74 |
 huaifeng1993/dfanet | An implementation of a deep learning model for real-time semantic segmentation | 255 |
 speedinghzl/ccnet | An implementation of a deep learning model for semantic segmentation using a novel attention mechanism to capture long-range dependencies in images. | 1,432 |