Addressing Limitations of Slot Attention using a Multiscale
Addressing Limitations of Slot Attention using a Multiscale
A widely adopted method within OCL is slot attention, which utilizes attention mechanisms to iteratively refine slot representations However, a major
Slot attention is a powerful method for object-centric modeling in images and videos However, its set-equivariance limits its ability to handle This repo is the Pytorch Implementation of paper Object-Centric Learning with Slot Attention It uses the slot attention module from here but augments it
aviator slot game Explainable artificial intelligence has been gaining attention in the past few years However, most existing methods are based on gradients or intermediate Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames Automatically discovering composable abstractions from raw
