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Coco Panoptic Eomt Giant 640
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Coco Panoptic Eomt Giant 640

Developed by tue-mps
The model proposed in this paper reveals the potential of Vision Transformer (ViT) in image segmentation tasks.
Image Segmentation
PyTorch
Open Source License:MIT#ViT Image Segmentation#High-Precision Segmentation#Vision Transformer
Downloads 92
Release Time : 3/26/2025

Model Overview

By rethinking the architecture of Vision Transformer, this model demonstrates its effectiveness in image segmentation tasks, challenging the conventional belief that ViT is primarily used for classification tasks.

Model Features

Innovative Application of ViT Architecture
Repurposing the Vision Transformer architecture for image segmentation tasks, showcasing ViT's potential in non-traditional tasks.
Excellent Segmentation Performance
The paper results show that the model performs well in image segmentation tasks, potentially matching or exceeding the performance of dedicated segmentation models.

Model Capabilities

Image Segmentation
Visual Feature Extraction
Pixel-Level Classification

Use Cases

Computer Vision
Medical Image Segmentation
Used for segmenting organs or lesion areas in medical imaging.
Autonomous Driving Scene Understanding
Used for segmenting and recognizing different objects in road scenes.
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