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PERCEIVER: General Perception with Iterative Attention

Scheme of the Perceiver model

Perceiver Architecture from the main paper

Perceiver Architecture

How the Perceiver model works

Perceiver Architecture

Description

This repository contains the implementations in PyTorch of the Perceiver model from the paper Perceiver: General Perception with Iterative Attention. I try to implement the model as close as possible to the original paper. The model is trained on the Modelnet40 dataset, and the training script is provided in the repository.

Structure of the repository

  • datasets: contains the folder of the dataset used in the experiments, in this case Modelnet40
  • image: contains the schematic representation of the Perceiver model
  • paper: all papers used in this project
  • src: contains the implementation of the Perceiver model
  • train: contains the training script of the Perceiver model
  • test: contains the unittest of the Perceiver model

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Perceiver model from: Perceiver General Perception with Iterative Attention

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