awesome-MIM

Reading list for research topics in Masked Image Modeling(MIM).

We list the most popular methods for MIM, if I missed something, please submit a request. (Note: We show the date of the first version of Arxiv here. But the link of paper may be not the early version.)

Self-supervied Vision Transformers as backbone models.

Date	Method	Conference	Title	Code
2021-06-14	BeiT	ICLR 2022(Oral)	BEiT: BERT Pre-Training of Image Transformers	BeiT
2021-11-11	MAE	Arxiv 2021	Masked Autoencoders Are Scalable Vision Learners	MAE
2021-11-15	iBoT	Arxiv 2021	iBOT: Image BERT Pre-Training with Online Tokenizer	iBoT
2021-11-18	SimMIM	Arxiv 2021	SimMIM: A Simple Framework for Masked Image Modeling	SimMIM
2021-12-16	MaskFeat	Arxiv 2021	Masked Feature Prediction for Self-Supervised Visual Pre-Training	None
2021-12-20	SplitMask	Arxiv 2021	Are Large-scale Datasets Necessary for Self-Supervised Pre-training?	None
2022-01-31	ADIOS	Arxiv 2022	Adversarial Masking for Self-Supervised Learning	None
2022-02-07	CAE	Arxiv 2022	Context Autoencoder for Self-Supervised Representation Learning	None
2022-02-07	CIM	Arxiv 2022	Corrupted Image Modeling for Self-Supervised Visual Pre-Training	None

Reading list for research topics in Masked Image Modeling

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Overview

awesome-MIM

Self-supervied Vision Transformers as backbone models.

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ligang

Python implementation of MULTIseq barcode alignment using fuzzy string matching and GMM barcode assignment

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

FaceAnon - Anonymize people in images and videos using yolov5-crowdhuman

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

Automatically erase objects in the video, such as logo, text, etc.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

you can add any codes in any language by creating its respective folder (if already not available).

Python periodic table module

Modular Probabilistic Programming on MXNet

A PyTorch implementation: "LASAFT-Net-v2: Listen, Attend and Separate by Attentively aggregating Frequency Transformation"

PuppetGAN - Cross-Domain Feature Disentanglement and Manipulation just got way better! 🚀

Automatic number plate recognition using tech: Yolo, OCR, Scene text detection, scene text recognation, flask, torch

Employs neural networks to classify images into four categories: ship, automobile, dog or frog

YOLOv5🚀 reproduction by Guo Quanhao using PaddlePaddle

Learning Dense Representations of Phrases at Scale (Lee et al., 2020)

Using contrastive learning and OpenAI's CLIP to find good embeddings for images with lossy transformations

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size.

A new data augmentation method for extreme lighting conditions.

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.