dl-mae Goto Github PK

adamae

Pytorch implementation of "AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders"

awesome-masked-autoencoders

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

awesome-mim

Awesome List of Masked Image Modeling (MIM) Papers for Self-supervised Visual Representation Learning

bootmae

ECCV2022,Bootstrapped Masked Autoencoders for Vision BERT Pretraining

catmae

CatMAE

comae

[AAAI 2023] CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets

conmh

[AAAI 2023] Contrastive Masked Autoencoders for Self-Supervised Video Hashing

conmim

Official codes for ConMIM (ICLR 2023)

convmae

ConvMAE: Masked Convolution Meets Masked Autoencoders

crossmae

Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders

csmae

Cross-Sensor Masked Autoencoder for Content Based Image Retrieval in Remote Sensing

deepmim

dmae

Denoising Masked Autoencoders Are Certifiable Robust Vision Learners.

dmjd

PyTorch implementation of Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling

dropmae

fastconvmae

fastmim.pytorch

FastMIM, official pytorch implementation of our paper "FastMIM: Expediting Masked Image Modeling Pre-training for Vision"(https://arxiv.org/pdf/2212.06593.pdf).

fastssl

focusmim

g2sd

gmml

graphmae

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

greenmim

[NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.

hpm

[CVPR'23] Hard Patches Mining for Masked Image Modeling

i-mae

i-mae Pytorch Repo

i2p-mae

[CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders

layergraftedpretraining_iclr23

[ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jiang, Yinpeng Chen, Mengchen Liu, Dongdong Chen, Xiyang Dai, Lu Yuan, Zicheng Liu, Zhangyang Wang

localmim

[CVPR 2023 Highlight(Oral)] Masked Image Modeling with Local Multi-Scale Reconstruction

m3ae

[MICCAI-2022] This is the official implementation of Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training.

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377