Deep Learning-Based Compressed Domain Multimedia for Man and Machine: A Taxonomy and Application to Point Cloud Classification

Author:

Seleem Abdelrahman1ORCID,Guarda André F. R.2ORCID,Rodrigues Nuno M. M.2ORCID,Pereira Fernando1ORCID

Affiliation:

1. Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

2. Instituto de Telecomunicações, Lisbon, Portugal

Funder

Fundação para a Ciência e a Tecnologia (FCT), Portugal, through the Research Project titled ‘‘Deep Learning-Based Point Cloud Representation’’

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference50 articles.

1. An image is worth 16×16 words: Transformers for image recognition at scale;dosovitskiy;Proc Int Conf Learn Represent,2021

2. Going deeper with convolutions

3. Point Transformer

4. PCT: Point cloud transformer

5. Deep Learning for Image Super-Resolution: A Survey

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adaptive bridge model for compressed domain point cloud classification;EURASIP Journal on Image and Video Processing;2024-06-08

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