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SOTA Model for Text Prompt Segmentation

Open xiaobanni opened this issue 2 years ago • 0 comments

I am looking for a state-of-the-art (SOTA) model for text prompt segmentation. Currently, I am aware of two choices: Grounded-Segment-Anything and SEEM. However, both of these models fail to meet my requirements.

Consider the following example: I want the model to segment the lane lines, but the results from the aforementioned methods are as follows (i hope they can segment the lane line in the road):

Grounded-Segment-Anything: image

SEEM Model: image

Unfortunately, neither of them can solve this problem effectively. I would greatly appreciate any recommendations you may have.

Suggestions for improving the implementation of the request using Grounded-Segment-Anything are also appreciated.

xiaobanni avatar Sep 26 '23 08:09 xiaobanni