AIbase
EN
Home
Ade20k Panoptic Eomt Large 640
A

Ade20k Panoptic Eomt Large 640

Developed by tue-mps
This paper proposes a method to reinterpret Vision Transformer (ViT) as an image segmentation model, demonstrating ViT's potential in image segmentation tasks.
Image Segmentation
PyTorch
Open Source License:MIT#ViT architecture#Image segmentation#High-precision segmentation
Downloads 105
Release Time : 3/26/2025

Model Overview

By redesigning the ViT architecture, this model can effectively perform image segmentation tasks, expanding the application scope of ViT.

Model Features

Innovative Application of ViT Architecture
Innovatively applies the ViT architecture originally designed for image classification to image segmentation tasks
Efficient Segmentation Capability
Demonstrates the effectiveness of Transformer architecture in pixel-level prediction tasks

Model Capabilities

Image segmentation
Pixel-level prediction
Semantic segmentation

Use Cases

Computer Vision
Medical Image Analysis
Used for organ or lesion area segmentation in medical images
Autonomous Driving Scene Understanding
Used for object segmentation and recognition in road scenes
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
English简体中文繁體中文にほんご
© 2025AIbase