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Ade20k Panoptic Eomt Giant 1280
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Ade20k Panoptic Eomt Giant 1280

Developed by tue-mps
This paper proposes a method to reinterpret Vision Transformer (ViT) as an image segmentation model, revealing ViT's potential in image segmentation tasks.
Image Segmentation
PyTorch
Open Source License:MIT#ViT Architecture#Image Segmentation#High-Precision Segmentation
Downloads 96
Release Time : 3/26/2025

Model Overview

By redesigning the ViT architecture, this model efficiently performs image segmentation tasks, offering new research directions in the field of computer vision.

Model Features

ViT Architecture Innovation
Redesigns the ViT architecture to effectively perform image segmentation tasks
Efficient Segmentation
Enhances image segmentation efficiency while retaining ViT's original advantages
Cross-Task Adaptability
Demonstrates the adaptability of ViT architecture across different computer vision tasks

Model Capabilities

Image Segmentation
Semantic Segmentation
Instance Segmentation

Use Cases

Medical Imaging
Organ Segmentation
Used for organ identification and segmentation in medical imaging
Improves diagnostic accuracy and efficiency
Autonomous Driving
Road Scene Understanding
Used for road scene segmentation in autonomous vehicles
Enhances environmental perception capabilities
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