Showing 141-160 of 326 projects
A robust tool for segmentation of over 100 anatomical structures in medical imaging data.
Collection of resources for object tracking and detection using deep learning.
A Chrome extension that uses Meta's Segment Anything Model to extract and copy objects from images.
Efficient Segment Anything, a leveraged masked image pretraining model for efficient segmentation.
Dual Attention Network for Scene Segmentation, a computer vision model for image segmentation.
A Python desktop app for automatically translating comics in various formats and languages using computer vision and machine translation.
Efficient 3D U-Net model for volumetric semantic segmentation of medical images, built with PyTorch.
A curated list of resources for using Generative Adversarial Networks (GANs) in medical imaging applications.
PyTorch implementation of PointNet for 3D classification and segmentation
Swin-Unet is a pure transformer-based model for medical image segmentation, with potential use in AI-powered coding tools.
A collection of pre-trained, state-of-the-art AI models for the ailia SDK, supporting a wide range of computer vision and natural language processing tasks.
A curated collection of ICCV conference papers, code, and interpretations for computer vision developers.
Turn any computer or edge device into a command center for your computer vision projects.
An open-source library for deep learning on satellite and aerial imagery using Python and PyTorch.
A PyTorch implementation of various Unet models for image segmentation, including Attention Unet and Nested Unet.
This is a PyTorch implementation of a 3D U-Net CNN for medical image segmentation.
YOLOP is a Python-based autonomous-driving perception project for panopitic driving perception.
A computer vision library for training and deploying deep learning models, with support for popular datasets and tasks.
An ECCV 2022 paper on long-term video object segmentation using an Atkinson-Shiffrin memory model.
Web-based tool for labeling bitmap images and point cloud data for semantic segmentation ML models.
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