TAG attention-driven GUI grounding
Grounding and evaluation code that aggregates a pretrained vision-language model’s attention maps to localize requested interface elements without fine-tuning.
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What is this resource?
- Resource type
- Tools
- Environment
- web
- Topics
- grounding, evaluation, training-free
- Record publication date
- Not recorded
- Evidence retrieved
- 2026-10-17T02:02:06Z
- Resource ID
- github:heimingx/tag
What licenses are recorded?
Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.
- Code
- Not recorded
- Data
- Not recorded
- Document
- Not recorded
- Weights
- Not recorded
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Scope and limitations
The release contains grounding and benchmark evaluation code. The inspected root repository metadata does not declare a code license. It uses external pretrained models rather than publishing a new trained checkpoint, and the README restricts redistribution of unzipped benchmark data.
Related resources
- documented by: Attention-driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models without Fine-Tuning
Primary evidence and verification
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- editorial primary review
Retrieved 2026-10-17T02:02:06Z. Supports: name, kind, summary, environments, topics, scope, relations.
Content fingerprint
68cb0deb8a2eb49fb9236ae3d885b043d240dded0fce31cf7425130a56ff5819 - editorial primary review
Retrieved 2026-10-17T02:02:05Z. Supports: identity.
Content fingerprint
a33bee17685d64d23fb4d65b30b9c52f3a6dd5b21789d7b3509eb2e15145de6f - editorial primary review
Retrieved 2026-10-17T02:02:05Z. Supports: release_status.
Content fingerprint
fac4f5e38011bbcfef916063d495c21d49830759af4e8713a60d7bae992d2710
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