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

Improve vision tasks with people using cells of various shapes with TCFormer

Improve vision tasks with people using cells of various shapes with TCFormer


Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer



Vision transformers have achieved great successes in many computer vision tasks.


Most methods generate vision tokens by splitting an image into a regular and fixed grid and treating each cell as a token.


However, not all regions are equally important in human-centric vision tasks, e.g., the human body needs a fine representation with many tokens


... propose .. Vision Transformer, called Token Clustering Transformer (TCFormer), which merges tokens by ... clustering, where the tokens can be merged from different locations with flexible shapes and sizes.


.. tokens .. can not only focus on important areas but also adjust the token shapes to fit the semantic concept and adopt a fine resolution for regions containing critical details


... TCFormer ... outperforms its counterparts on ... challenging human-centric tasks and datasets, including whole-body pose estimation ... and 3D human mesh reconstruction ...



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



104 views0 comments

Comments


ClickBank paid link

bottom of page