SCOUTER: Slot Attention-based Classifier for Explainable Image

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Slot Attention is an architectural component that interfaces with perceptual representations such as the output of a convolutional neural network and

This module is built on top of the recently-emerged slot attention , which offers an object-centric approach for image representation The xSlot module Slot attention is a powerful method for object-centric modeling in images and videos However, its set-equivariance limits its ability to handle

amaterasu keno slot Overview of a general object-centric learning framework on videos The model performs Slot Attention to capture objects with slots, and decodes slots back Within this framework, we introduce an adaptive slot attention mechanism that dynamically determines the optimal number of slots based on the content