[ICLR 2024 Spotlight] 🚀 The official repository of Self-Supervised Learning method "ROPIM", "Pre-training with Random Orthogonal Projection Image Modeling"
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Updated
May 7, 2024 - Python
[ICLR 2024 Spotlight] 🚀 The official repository of Self-Supervised Learning method "ROPIM", "Pre-training with Random Orthogonal Projection Image Modeling"
Google Workspace Management Agent for MIM 2016
Codeless data transform engine for FIM/MIM
Codeless business rules engine for FIM/MIM
Utilities for the FIM/MIM Microsoft.MetadirectoryServices library
User verification module for FIM2010/MIM2016
Administrator-assisted pasword reset module for FIM 2010 and MIM 2016
Lithnet FIM/MIM Linux/Unix SSH Management Agent
Lithnet FIM/MIM Service PowerShell Module
Lithnet AutoSync for Microsoft Identity Manager
Lithnet FIM/MIM Service REST API
Lithnet FIM/MIM Service .NET Client Library
Lithnet PowerShell Module for FIM/MIM Synchronization Service
Microsoft Identity Manager (FIM, MIM, ...)
Lithnet FIM/MIM Synchronization Service Client
In this project new masking strategies are proposed for more competitive MIM-based self-supervised learning. Furthermore, a new loss function, based on contrastive learning, is introduced and achieves improvements over the baseline when used with different masking strategies.
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