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@ -6,7 +6,7 @@ Paper link is avaliable at [here]()!
Demo link is avaliable at [here]()!
## :bulb: Highlights
We emphasize $4$ important features of **SEEM** here.
We emphasize **4** important features of **SEEM** here.
1. **Versatility**: work with various types of prompts, for example, clicks, boxes, polygon, scribble, text, and referring image;
2. **Compositionaliy**: deal with any compositions of prompts;
3. **Interactive**: interact with user multi-rounds because **SEEM** has a memory prompt to store the session history;
@ -22,11 +22,17 @@ With a simple click or stoke from the user, we can generate the masks and the co
## 🔥Text to mask
SEEM can generate the mask with text input from the user, providing multi-modality interaction with human.
![example](assets/text.png?raw=true)
<!-- ![example](assets/text.png?raw=true) -->
<div align="center">
<img src="assets/text.png" width = "700" alt="assets/text.png" align=center />
</div>
## 🔥Referring image to mask
With a simple click or stroke on the referring image, the model is able to segment the objects with similar semantics on the target images.
![example](assets/ref_seg.png?raw=true)
## Audio to mask
We use Whiper to turn audio into text prompt to segment the object. Try it in our demo!
<!-- ## 🔥Combination of different prompts to mask -->
## 🔥Examples of different styles