Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network (AAAI 2023)

Supervised Contrastive Learning (SupContrast) based on MoCo-v2

Code for MICCAI 2023 publication: SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans

TF 2.x implementation of SupCL (Supervised Contrastive Learning, 2020).

Detecting melanomas in images of skin lesions using supervised contrastive learning, and image denoising as a pretext task.

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.

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.

SMAI Project