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We are working on universal/contrast-agnostic models for lesion or spinal cord segmentation. But it seems like going for a single model/segmentation head for segmenting the lesions of all sites is an …
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When fed with a universal binary like this:
```
% file Shadowrocket
Shadowrocket: Mach-O universal binary with 2 architectures: [arm_v7:
- Mach-O executable arm_v7] [arm64]
Shadowrocket (for arc…
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Hello! Thank you for your great and interesting work. I have a question regarding MASA adapter usage with segmentation models.
In your article it is stated that you have "designed a universal MASA ad…
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### Model description
MaskCLIP represents a transformative step in the realm of open-vocabulary universal image segmentation. Built upon the robust foundation of pre-trained CLIP models, it negates…
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# Contrastive Language-Image Pre-training (CLIP) Driven Models and Partially Supervised Learning for Medical Image Segmentation
This issue is to discuss adding the CLIP-Driven Universal Model Featu…
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# Describe the feature
Oneformer model seems to be topping the leaderboards for image segmentation across a number of different datasets.
**Motivation**
Oneformer seems to be giving incredibly g…
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When I was running the training code, the following error occurred,may I ask how to solve this
python train.py
Training with GPU
Created progress directory to: /remote-home/2210975/cloth/dyna…
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https://arxiv.org/abs/1901.04949
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### Thank you so much for such an amazing model. With such high capabilities.
I have a few doubts ,
I ran the pred_psuedo.py inference , following the repo instructions, like this :
`(universalm…