Explore Projects
Discover 51 open source projects
Showing 21-40 of 51 projects
GeorgeSeif/Semantic-Segmentation-Suite
A suite of tools for implementing, training, and testing semantic segmentation models in TensorFlow.
wolny/pytorch-3dunet
Efficient 3D U-Net model for volumetric semantic segmentation of medical images, built with PyTorch.
azavea/raster-vision
An open-source library for deep learning on satellite and aerial imagery using Python and PyTorch.
Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor
Web-based tool for labeling bitmap images and point cloud data for semantic segmentation ML models.
NVIDIA/semantic-segmentation
A library for semantic segmentation tasks using deep learning models provided by NVIDIA.
yassouali/pytorch-segmentation
A PyTorch library for building state-of-the-art semantic segmentation models for computer vision tasks.
wkentaro/pytorch-fcn
PyTorch implementation of Fully Convolutional Networks for semantic segmentation.
zijundeng/pytorch-semantic-segmentation
PyTorch library for building semantic segmentation models for computer vision applications.
SHI-Labs/OneFormer
A powerful universal image segmentation model that can handle various segmentation tasks with a single transformer-based model.
john-rocky/CoreML-Models
Converted CoreML Model Zoo - a collection of pre-trained machine learning models for iOS apps.
rwightman/efficientdet-pytorch
An efficient PyTorch implementation of the EfficientDet object detection model with ported weights.
QingyongHu/SoTA-Point-Cloud
A comprehensive survey of deep learning techniques for 3D point cloud analysis, covering classification, detection, segmentation, and tracking.
yoshitomo-matsubara/torchdistill
A PyTorch-based framework for reproducible deep learning studies with 26 knowledge distillation methods.
IDEA-Research/MaskDINO
Official implementation of a paper on a unified Transformer-based framework for object detection and segmentation.
speedinghzl/CCNet
CCNet is a semantic segmentation library that uses Criss-Cross Attention to improve scene parsing performance.
czczup/ViT-Adapter
A PyTorch library that provides Vision Transformer (ViT) adapters for dense prediction tasks like object detection and semantic segmentation.
MIC-DKFZ/medicaldetectiontoolkit
A toolbox for training and deploying object detectors and segmentation models on medical images using PyTorch.
lightly-ai/lightly-train
All-in-one training for vision models with pretraining, fine-tuning, and distillation capabilities.
d-li14/involution
A novel neural operator called Involution that can be used for image classification, object detection, and other computer vision tasks.
RoyalVane/CLAN
Research paper on domain adaptation and semantic-consistent transfer learning for computer vision.
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