Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.
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Updated
Jun 21, 2020 - Jupyter Notebook
Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.
TF 2.x implementation of SupCL (Supervised Contrastive Learning, 2020).
Supervised Contrastive Learning (SupContrast) based on MoCo-v2
Implemented pose aware face recognition network to Improve the performance of face recognition task for the faces at extreme joint pitch and yaw view angles.
Code for MICCAI 2023 publication: SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans
Detecting melanomas in images of skin lesions using supervised contrastive learning, and image denoising as a pretext task.
Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network (AAAI 2023)
In medical applications with limited training data, traditional self-supervised deep learning struggles for accuracy. This study combines self-supervised learning with Variational Quantum Classifiers (VQC) and Principal Component Analysis (PCA) for dimensionality reduction.
This repo contains code for uisng semi-supervised contrastive learning to learn phenotypical representations from Cell Painting image data
Medical Diagnosis using Contrastive Learning
The code repository for the paper: Peijie et al., Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. IEEE TKDE, 2023.
Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)
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