top of page

News to help your R&D in artificial intelligence, machine learning, robotics, computer vision, smart hardware

As an Amazon Associate I earn

from qualifying purchases

Writer's picturemorrislee

Segment object using one example without training using target-guided attention with PerSAM

Segment object using one example without training using target-guided attention with PerSAM


Personalize Segment Anything Model with One Shot

arXiv paper abstract https://arxiv.org/abs/2305.03048



Driven by large-data pre-training, Segment Anything Model (SAM) has been demonstrated as a powerful and promptable framework, revolutionizing the segmentation models.


Despite the generality, customizing SAM for specific visual concepts without man-powered prompting is under explored, e.g., automatically segmenting your pet dog in different images.


... propose a training-free Personalization approach for SAM, termed as PerSAM.


Given only a single image with a reference mask, PerSAM first localizes the target concept by a location prior, and segments it within other images or videos via three techniques: target-guided attention, target-semantic prompting, and cascaded post-refinement.


... further ... present an efficient one-shot fine-tuning variant, PerSAM-F.


Freezing the entire SAM, ... introduce two learnable weights for multi-scale masks, only training 2 parameters within 10 seconds for improved performance ...



Please like and share this post if you enjoyed it using the buttons at the bottom!


Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact

Web site with my other posts by category https://morrislee1234.wixsite.com/website



146 views0 comments

Comentarios


ClickBank paid link

bottom of page