masked-autoencoder topic

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

MCG-NJU

Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"

implus

reproduction of semantic segmentation using masked autoencoder (mae)

implus

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

EdisonLeeeee

ALBERT trained on Mongolian text corpus

bayartsogt-ya

Unofficial PyTorch implementation of Masked Autoencoders that Listen

rishikksh20

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling...

keyu-tian

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

OpenGVLab

SimpleClick: Interactive Image Segmentation with Simple Vision Transformers (ICCV 2023)

uncbiag

PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529

xyzforever