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Coco Instance Eomt Large 640
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Coco Instance 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 99
Release Time : 3/26/2025

Model Overview

By redesigning the ViT architecture, this model effectively performs image segmentation tasks, offering a new perspective for understanding and utilizing ViT models.

Model Features

Reinterpretation of ViT Architecture
Adapts the traditional Vision Transformer architecture for image segmentation tasks.
Efficient Image Segmentation
Demonstrates ViT's high efficiency in image segmentation tasks.
Theoretical Innovation
Provides a new perspective for understanding and utilizing ViT models.

Model Capabilities

Image Segmentation
Pixel-Level Prediction

Use Cases

Computer Vision
Medical Image Analysis
Used for segmenting organs or lesion areas in medical images.
Autonomous Driving Scene Understanding
Used for object and region segmentation in road scenes.
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