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Hi Team,
Thanks for your help.
boxes, logits, phrases = predict(
model=model,
image=image,
caption=TEXT_PROMPT,
…
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yoloworld模型能否训练像Visual grounding相关数据集RefCOCO dataset , RefCOCO+ dataset ,
and RefCOCOg dataset 或者Flickr30K Entities数据集来学习物体之间的空间关系,比如能够推理出“抓住中间的东西”或“选择橙色左边的香蕉”这样的能力
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Hi folks!
Grounding DINO is now available in the Transformers library, enabling easy inference in a few lines of code.
Here's how to use it:
```python
from transformers import AutoProcessor,…
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Hello, authors. I would like to ask two questiones. 1. How to deal with box query feature and point query feature after deformable cross-
attention, contact? 2. How to get corresponding text prompts…
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全路径为: DETR -> DINO -> GLIP -> Grounding DINO -> Grounding SAM。
其中DINO指的是一种基于DETR的目标检测模型
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Thanks for sharing your work. Are there some codes for "Training-Free Confidence Scoring Mechanism"? I clone the repository and only find `eval/run_llava.py` for runing a demo. And are there the evalu…
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**I had to re-create this repository because of some issues with the git history so I'm re-posting this issue.**
_JackWhite-rwx commented:
Excuse me,Your paper "Employing the Scene Graph for Phras…
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### Model description
Kosmos-2 is a grounded multimodal large language model, which integrates grounding and referring capabilities compared with Kosmos-1. The model can accept image regions select…
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Thanks for sharing the wonderful work, the paper differentiate GLIP with GroundingDINO, FIBER, the former is classified into open vocabulary object detection, while the latter is named bi-functional m…
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To the Authors
This is a very interesting and good work on visual grounding tasks with a Query-based detector. The paper is also well written and clear. Super interesting results with GLIGEN as we…