An easy-to-use implementation of VICReg in Pytorch
An easy-to-use implementation of VICReg in Pytorch
A Novel Self-supervised Learning Task Designed for Anomaly Segmentation
PyToch implementation of A Novel Self-supervised Learning Task Designed for Anomaly Segmentation
An official PyTorch Implementation of Boundary-aware Self-supervised Learning for Video Scene Segmentation (BaSSL)
An official PyTorch Implementation of Boundary-aware Self-supervised Learning for Video Scene Segmentation (BaSSL)
SSMNR | Self-Supervised Methods for Noise-Removal
SSMNR | Self-Supervised Methods for Noise-Removal
Self-supervised spatio-spectro-temporal represenation learning for EEG analysis
Self-supervised spatio-spectro-temporal represenation learning for EEG analysis
A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval
A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval
A self-supervised learning framework for audio-visual speech
A self-supervised learning framework for audio-visual speech
Mixup for Supervision, Semi- and Self-Supervision Learning Toolbox and Benchmark
Mixup for Supervision, Semi- and Self-Supervision Learning Toolbox and Benchmark
Code release for SLIP Self-supervision meets Language-Image Pre-training
Code release for SLIP Self-supervision meets Language-Image Pre-training
Graph Self-Supervised Learning for Optoelectronic Properties of Organic Semiconductors
Graph Self-Supervised Learning for Optoelectronic Properties of Organic Semiconductors
Deep Level Set for Box-supervised Instance Segmentation in Aerial Images
Deep Level Set for Box-supervised Instance Segmentation in Aerial Images
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition
Self-Supervised Learning with Kernel Dependence Maximization
Self-Supervised Learning with Kernel Dependence Maximization
Official implementation of the method ContIG, for self-supervised learning from medical imaging with genomics
Official implementation of the method ContIG, for self-supervised learning from medical imaging with genomics
Self-Supervised Graph Representation Learning via Topology Transformations
Self-Supervised Graph Representation Learning via Topology Transformations
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks
A Domain-Agnostic Benchmark for Self-Supervised Learning
A Domain-Agnostic Benchmark for Self-Supervised Learning
Self-Supervised Policy Adaptation during Deployment
Self-Supervised Policy Adaptation during Deployment
Masked Autoencoders Are Scalable Vision Learners for self-supervised ViT
Masked Autoencoders Are Scalable Vision Learners for self-supervised ViT
Self-supervised Multi-modal Hybrid Fusion Network for Brain Tumor Segmentation
Self-supervised Multi-modal Hybrid Fusion Network for Brain Tumor Segmentation
Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation
Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Towards the Generalization of Contrastive Self-Supervised Learning
Towards the Generalization of Contrastive Self-Supervised Learning
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Codebase for the self-supervised goal reaching benchmark introduced in the LEXA paper
Codebase for the self-supervised goal reaching benchmark introduced in the LEXA paper
Self-Supervised Learning by Estimating Twin Class Distribution
Self-Supervised Learning by Estimating Twin Class Distribution
Self-supervised learning of Image Scale and Orientation Estimation
Self-supervised learning of Image Scale and Orientation Estimation
Code for MarioNette: Self-Supervised Sprite Learning, in NeurIPS 2021
Code for MarioNette: Self-Supervised Sprite Learning, in NeurIPS 2021
TLDR: Twin Learning for Dimensionality Reduction
TLDR: Twin Learning for Dimensionality Reduction
A JAX implementation of Broaden Your Views for Self-Supervised Video Learning, or BraVe for short
A JAX implementation of Broaden Your Views for Self-Supervised Video Learning, or BraVe for short
Self Supervised Representation Learning With Deep Clustering For Acoustic Unit Discovery From Raw Speech
Self Supervised Representation Learning With Deep Clustering For Acoustic Unit Discovery From Raw Speech
Self-Supervised Graph Transformer on Large-Scale Molecular Data
Self-Supervised Graph Transformer on Large-Scale Molecular Data
The self-supervised goal reaching benchmark introduced in Discovering and Achieving Goals via World Models
The self-supervised goal reaching benchmark introduced in Discovering and Achieving Goals via World Models
Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning
Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection
Motif-based Graph Self-Supervised Learning forMolecular Property Prediction
Motif-based Graph Self-Supervised Learning forMolecular Property Prediction
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR
Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR
Video Autoencoder: self-supervised disentanglement of 3D structure and motion
Video Autoencoder: self-supervised disentanglement of 3D structure and motion
Dense Contrastive Learning (DenseCL) for self-supervised representation learning
Dense Contrastive Learning (DenseCL) for self-supervised representation learning
State-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch
State-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
PASS: Pictures without humAns for Self-Supervised Pretraining
PASS: Pictures without humAns for Self-Supervised Pretraining
Apply Graph Self-Supervised Learning methods to graph-level task
Apply Graph Self-Supervised Learning methods to graph-level task
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds
Object-aware Contrastive Learning for Debiased Scene Representation
Object-aware Contrastive Learning for Debiased Scene Representation
UniLM AI: Large-scale Self-supervised Pre-training across Tasks, Languages, and Modalities
UniLM AI - Large-scale Self-supervised Pre-training across Tasks, Languages, and Modalities
Self-Supervised Pillar Motion Learning for Autonomous Driving
Self-Supervised Pillar Motion Learning for Autonomous Driving
Self-Supervised Graph Co-Training for Session-based Recommendation
Self-Supervised Graph Co-Training for Session-based Recommendation