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Coco Panoptic Eomt Giant 1280
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Coco Panoptic Eomt Giant 1280

Developed by tue-mps
By rethinking the architecture of Vision Transformer (ViT), this model demonstrates its potential in image segmentation tasks.
Image Segmentation
PyTorch
Open Source License:MIT#ViT Architecture#Image Semantic Segmentation#High-Precision Segmentation
Downloads 90
Release Time : 3/26/2025

Model Overview

Based on the Vision Transformer (ViT) architecture, this model is specifically optimized for image segmentation tasks, capable of efficiently processing images and outputting precise segmentation results.

Model Features

Optimized Architecture Based on ViT
By redesigning the ViT architecture, it becomes more suitable for image segmentation tasks, improving segmentation accuracy and efficiency.
Efficient Image Processing
Capable of efficiently processing high-resolution images, suitable for various complex image segmentation scenarios.

Model Capabilities

Image Segmentation
High-Resolution Image Processing

Use Cases

Medical Imaging
Organ Segmentation
Used for organ segmentation in medical imaging to assist doctors in diagnosis.
Accurately segments organ regions, improving diagnostic efficiency.
Autonomous Driving
Road Scene Segmentation
Used for road scene segmentation in autonomous driving to identify key elements such as lanes and pedestrians.
Enhances the environmental perception capability of autonomous driving systems.
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