Comments (2)
kanguyen-vn
commented on August 10, 2024
The model wasn't really trained to perform region-level reasoning; it was only train to do region-level captioning. If you look in these region-level dataset classes, they only use the REGION_QUESTIONS and REGION_GROUP_QUESTIONS prompt templates from here as questions for LLM training, and they're all captioning questions. If you want region-level reasoning capabilities, GLaMM might not be the best solution for you. If you don't really need segmentation masks in the output, I'd try something like Shikra, for example.
from groundinglmm.
hanoonaR
commented on August 10, 2024
Hi @mu-jin-meng,
Can you please explain the prompt you are using? If you could explain the task I could help. Thank you.
from groundinglmm.
Related Issues (20)
- Some bugs in the GranD_ReferringSegm_ds.py
- Online Demo Down HOT 1
- Fine-tuning Grounded Conversation Generation (GCG) Task HOT 4
- token_positives HOT 2
- assertion error cur_len == total_len HOT 1
- can not install mmcv HOT 2
- Can not find file for glamm_conda_env.zip in the given Google Drive Link HOT 4
- Training on New Data HOT 2
- training V-L and L-P projection layer HOT 1
- Can not download the train.json file for visual genome
- How can I let the model receive multiple images at once HOT 1
- How should I train on the GranD dataset
- How can I finetune on combined tasks?
- Confusing referring segmentation results. HOT 1
- mmcv failed to install HOT 1
- AssertionError when running a demo
- Offline demo error
- Why is it that during the computation of segmentation results, the model() function is used instead of model.generate()? Wouldn't this mean that when predicting the next token, the information viewed is from the actual token rather than the predicted one?
- What are the ‘categories’ in the dataset used for? When would I use them?
- How to Construct a Ground-Truth Test Dataset
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from groundinglmm.