Slot Attention-based Classifier for Explainable Image Recognition

Researchers from Rutgers University propose a slot-based autoencoder architecture called SLot Attention TransformEr The SLATE model

Slot Attention-based Classifier for Explainable Image Recognition slot attention to a multi-query approach, allowing the model to learn multiple sets of slots, producing more stable masks During training

Researchers from Rutgers University propose a slot-based autoencoder architecture called SLot Attention TransformEr The SLATE model

slot instellen koffer slot attention mechanisms together with alignment and disentanglement loss functions to learn dynamic network slot concepts https:lnkd

Researchers from Rutgers University propose a slot-based autoencoder architecture called SLot Attention TransformEr The SLATE model

slot games where you win real money Implementation of Slot Attention in Pytorch

PARTS: Unsupervised segmentation with slots, attention and independence maximization Abstract: From an early age, humans perceive the visual world as composed