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Coco Panoptic Eomt Large 640
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Coco Panoptic Eomt Large 640

Developed by tue-mps
This model reveals the potential of Vision Transformer (ViT) in image segmentation tasks by adapting its architecture for segmentation purposes.
Image Segmentation
PyTorch
Open Source License:MIT#ViT Architecture#Image Segmentation#High-Precision Segmentation
Downloads 217
Release Time : 3/26/2025

Model Overview

The proposed model in this paper demonstrates that the Vision Transformer (ViT) architecture, with appropriate modifications, can be effectively applied to image segmentation tasks, thereby expanding the scope of ViT applications.

Model Features

Adaptive Adjustment of ViT Architecture
Specific modifications enable the originally classification-oriented ViT architecture to be suitable for image segmentation tasks.
Efficient Segmentation Capability
Demonstrates the potential of Transformer architecture in dense prediction tasks.

Model Capabilities

Image Segmentation
Semantic Segmentation
Dense Prediction

Use Cases

Computer Vision
Medical Image Analysis
Used for segmenting organs or lesion areas in medical images
Autonomous Driving Scene Understanding
Used for segmenting objects and drivable areas in road scenes
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