Free
Free
Research code and the project page are publicly available with no paid subscription.
- Access
- Research code and the project page are publicly available with no paid subscription.
EoMT
● Identity checkedImages · Vendor site 2026-10-04
EoMT (Encoder-only Mask Transformer) is a CVPR 2025 research project that turns a plain Vision Transformer into a fast image segmentation model without adapters or decoders. The site publishes the paper overview, benchmarks, and links to open-source training code for semantic, instance, and panoptic segmentation.
- Category
- Images
- Free access
- Research code and the project page are publicly available with no paid subscription.
- API access
- Not confirmed
Is EoMT right for you?
A good fit for
Computer vision researchers and engineers experimenting with ViT-based segmentation who want the published EoMT implementation.
Before you choose
EoMT is a research release with training code rather than a hosted SaaS segmentation API on the project site.
ViT as a segmentation model
The EoMT project argues a plain Vision Transformer can serve as a minimalist, high-speed image segmentation model when pretrained ViTs are reused as the full architecture.
What it can do
Features & capabilities
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| Segmentation approach | Overview describes repurposing a plain ViT to encode image patches and segmentation queries as tokens without adapters or decoders. | Facts sourced | 2026-10-04 |
| Speed claim | Project page states EoMT can be up to 4× faster than complex segmentation stacks when using ViT-L. | Facts sourced | 2026-10-04 |
| Code release | Homepage links to GitHub repository tue-mps/eomt for implementation access. | Facts sourced | 2026-10-04 |
Understand the total cost
EoMT pricing & plans
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Frequently asked questions
What is EoMT used for?
EoMT (Encoder-only Mask Transformer) is a CVPR 2025 research project that turns a plain Vision Transformer into a fast image segmentation model without adapters or decoders. The site publishes the paper overview, benchmarks, and links to open-source training code for semantic, instance, and panoptic segmentation.
Does EoMT have a free plan?
Research code and the project page are publicly available with no paid subscription.. This record lists ongoing free access; check the plan limits before starting.
How much does EoMT cost?
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Can I use EoMT through an API?
Not confirmed. API access and subscription access may have different terms; consult the linked sources.
What should I check before choosing it?
EoMT is a research release with training code rather than a hosted SaaS segmentation API on the project site.
Price history
No retained pricing changes yet. A current price alone does not establish a historical trend.
How this profile is supported
Identity and profile
Reviewed vendor source
Read original source ↗Facts apply to the named version and check date. Send a sourced correction if something changed.