Object-Centric Learning with Slot Attention - Zhihu

SCOUTER: An explainable image classifier using a modified version of Slot Attention · pdf MB code: https:github

Object-Centric Learning with Slot Attention - Zhihu The Slot Attention architecture works by first taking in the output of a convolutional neural network, which is a representation of the input image or dataset

SCOUTER: An explainable image classifier using a modified version of Slot Attention · pdf MB code: https:github

slot mega joker Explainable artificial intelligence has been gaining attention in the past few years However, most existing methods are based on gradients or intermediate

Based on PRSlot modules, we present a novel Pyramid Region-based Slot Attention Network termed PRSA-Net to learn a unified visual representation with rich

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A new architecture to cleverly exploit ontology, which consists of Slot Attention and Value Normalization , referred to as SAVN, is proposed,