IEEE

Contrastive Semantic-Aware Masked Autoencoder for Point Cloud Self-Supervised Learning

Abstract: Masked Autoencoder (MAE) has shown remarkable potential in self-supervised representation learning for 3D point clouds. However, these methods primarily rely on point-level or low-level ...
IEEE

Cross-Modal Contrastive Masked AutoEncoder for Compressed Video Pre-Training

Abstract: In this paper, we propose a novel Transformer based approach, namely Cross-modal Contrastive Masked AutoEncoder (C2MAE), to Self-Supervised Learning (SSL) on compressed videos. A unified ...
日経クロステック

Masked Autoencoder：画像認識でも事前学習革命は起きるのか

この記事は日経Robotics 有料購読者向けの過去記事ですが 『日経Robotics デジタル版（電子版）』のサービス開始を記念して、特別に誰でも閲覧できるようにしています。 本記事はロボットとAI技術の専門誌『日経Robotics』のデジタル版です [画像のクリックで ...
GitHub

DAP-MAE: Domain-Adaptive Point Cloud Masked Autoencoder for Effective Cross-Domain Learning

-The code has been released, but there may be some issues in the code, possibly caused by mismatched parameter names during loading. We will fix them as soon as possible. In this work, we propose the ...
GitHub

Shafiya0101/Convolutional-AutoEncoder-for-Cifar-dataset

This project implements a Convolutional AutoEncoder for image compression using the CIFAR-100 dataset. The autoencoder is designed to compress images into a lower-dimensional latent space and ...