Oct 14, 2016 · We propose to address the multi-view depth-based active object recognition using attention mechanism, through developing an end-to-end recurrent 3D attentional ...

Apr 8, 2019 · We address multi-view depth-based active object recognition using an attention mechanism, by use of an end-to-end recurrent 3D attentional network.

This work addresses multi-view depth-based active object recognition using an attention mechanism, by use of an end-to-end recurrent 3D attentional network ...

Abstract Active vision is inherently attention-driven: an agent actively selects views to attend in order to rapidly perform a vision task while improving ...

Our model, trained with 3D shape datasets, is able to iteratively attend the best views targeting an object of interest for recognizing it. To realize 3D view ...

This work proposes to address the multi-view depth-based active object recognition using attention mechanism, through developing an end-to-end recurrent 3D ...

Oct 14, 2016 · Our model, trained with a 3D shape database, is able to iteratively attend to the best views targeting an object of interest for recognizing it, ...

Our model, trained with a 3D shape database, is able to iteratively attend to the best views targeting an object of interest for recognizing it, and focus on ...

Bibliographic details on Recurrent 3D Attentional Networks for End-to-End Active Object Recognition in Cluttered Scenes.

Active vision is inherently attention-driven: an agent actively selects views to attend in order to rapidly perform a vision task while improving its.