OpenMMLab Pre-training Toolbox and Benchmark
-
Updated
Aug 20, 2024 - Python
OpenMMLab Pre-training Toolbox and Benchmark
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
[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"
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
ConvMAE: Masked Convolution Meets Masked Autoencoders
[ICCV 2023] You Only Look at One Partial Sequence
[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
PASSL包含 SimCLR,MoCo v1/v2,BYOL,CLIP,PixPro,simsiam, SwAV, BEiT,MAE 等图像自监督算法以及 Vision Transformer,DEiT,Swin Transformer,CvT,T2T-ViT,MLP-Mixer,XCiT,ConvNeXt,PVTv2 等基础视觉算法
Official Code of Paper "Reversible Column Networks" "RevColv2"
[ICCV 2023] Code base for Revisiting Scene Text Recognition: A Data Perspective
PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection
reproduction of semantic segmentation using masked autoencoder (mae)
Paddle Large Scale Classification Tools,supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, Swin, DeiT, CaiT, FaceViT, MoCo, MAE, ConvMAE, CAE.
PyTorch-Based Evaluation Tool for Co-Saliency Detection
visualization:filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro
Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders
Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
Add a description, image, and links to the mae topic page so that developers can more easily learn about it.
To associate your repository with the mae topic, visit your repo's landing page and select "manage topics."