Pyramid Region-based Slot Attention Network for Temporal Action

In this paper, we present the Slot Attention module, an architectural component that interfaces with perceptual representations such as the output of a

Pyramid Region-based Slot Attention Network for Temporal Action Explainable artificial intelligence has been gaining attention in the past few years However, most existing methods are based on gradients or intermediate

In this paper, we present the Slot Attention module, an architectural component that interfaces with perceptual representations such as the output of a

slot devil''s delight rtp In this paper, we propose the Slot-VAE, a generative model that integrates slot attention with the hierarchical VAE framework for object-centric

We empirically demonstrate that Slot Attention can extract object-centric representations that enable generalization to unseen compositions when

slots casino slot machines Although Slot Attention does not improve the accuracy much, it reinforces the robustness more effectively This indicates that it can better capture target

Overview of a general object-centric learning framework on videos The model performs Slot Attention to capture objects with slots, and decodes slots back