Seg2Click

Training and inference implementation that predicts an executable-region mask and derives a GUI click from that mask.

AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.

What is this resource?

Resource type

Frameworks

Environment

cross-platform

Topics

grounding, screen-understanding

Record publication date

Not recorded

Evidence retrieved

2026-10-17T01:46:05Z

Resource ID

github:jcwang0602/seg2click

What licenses are recorded?

Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.

Code

MIT (repository LICENSE header; not a weights/data license)

Data

Not recorded

Document

Not recorded

Weights

Not recorded

Explore related topics

Scope and limitations

The repository provides training, evaluation, and a custom mask decoder. Its code license does not determine the licenses of the five model checkpoints. No model execution was performed.

Related resources

• documented by: Seg2Click: Learning Pixel-Level Action Masks for GUI Visual Grounding

Connected assets

These links come from reviewed resource records. A documentation link does not imply a training-data or evaluation dependency.

• Model variant: Seg2Click Qwen2.5-VL 3B · Models and checkpoints · relationship evidence
• Model variant: Seg2Click Qwen3.5 4B · Models and checkpoints · relationship evidence
• Model variant: Seg2Click Qwen3.5 0.8B · Models and checkpoints · relationship evidence
• Model variant: Seg2Click Qwen3.5 9B · Models and checkpoints · relationship evidence
• Model variant: Seg2Click Qwen3.5 2B · Models and checkpoints · relationship evidence

Primary evidence and verification

Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.

1. editorial primary review

   Retrieved 2026-10-17T01:46:05Z. Supports: name, kind, summary, environments, topics, scope, relations.

   Content fingerprint

   2316acbef1207925b10b4770e14bdf69f6f4b6b3bc0ddb12e6be107d6f1425da
2. license header

   Retrieved 2026-10-17T01:52:51Z. Supports: licenses.code.

   Content fingerprint

   57bcc2eb985fa6036bf2bde7f28c4fd359c6b3479a658fea768162cac2a75ba5

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