OpenMMLab Pre-training Toolbox and Benchmark
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Updated
Aug 20, 2024 - Python
OpenMMLab Pre-training Toolbox and Benchmark
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
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"
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
[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"
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
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
ConvMAE: Masked Convolution Meets Masked Autoencoders
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.
[ICCV 2023] You Only Look at One Partial Sequence
PyTorch-Based Evaluation Tool for Co-Saliency Detection
Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"
PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection
Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
reproduction of semantic segmentation using masked autoencoder (mae)
[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
Official Code of Paper "Reversible Column Networks" "RevColv2"
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