TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction (2025)

self-supervised learning, deep learning, representation learning, RotNet, temporal convolutional network(TCN), deformation transformation, sketch pre-train, sketch classification, sketch retrieval, free-hand sketch, official code of paper "Deep Self-Supervised Representation Learning for Free-Hand Sketch"

Pytorch Implementation of popular self-supervised models

[VUA@BMVC2024] Self-Supervised Contrastive Learning for Videos using Differentiable Local Alignment

This is the implementation of DCMVC: Dual Contrastive Multi-view Clustering, published in Neurocomputing 2025.

This is an unofficial Python demo of the Self-Supervised Label Generator (SSLG), presented in "Self-Supervised Drivable Area and Road Anomaly Segmentation using RGB-D Data for Robotic Wheelchairs. Our SSLG can be used effectively for self-supervised drivable area and road anomaly segmentation based on RGB-D data".

Source code for the BMVC-2021 paper "SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation".

[TIP 2025] DCPI-Depth: Explicitly Infusing Dense Correspondence Prior to Unsupervised Monocular Depth Estimation

This repo contains code used in the paper "Characterizing the temporal dynamics of universal speech representations for generalizable deepfake detection"

The officieal implementation of the paper: CoWS: Self-Supervised Representation Pre-Training for Cross-Machine Fault Diagnosis

Official implementation of "Augmentation-aware Self-supervised Learning with Conditioned Projector"

Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation, SIGIR 2021

[ICCV 2023 Workshop] This is the official code for the paper "Zero-shot image restoration with embedded Richardson-Lucy deconvolution"

Tensorflow code for Vision Transformers training with the Self-Supervised learning method DINO

MASSRL (Mulit-Augmentation Strategies on Searched and Random Augmentation Policies) Self-supervised visual representation learning.

Pytorch implementation of the paper, "A Simple Framework for Contrastive Learning of Visual Representations", or SimCLR, https://arxiv.org/pdf/2002.05709.pdf

SEED: Self-supervised Distillation for Visual Representation

[ICCV 2025] Official PyTorch Implementation of "Learning Self-supervised Part-aware 3D Hybrid Representations of 2D Gaussians and Superquadrics"

Code for the ICLR'24 paper "Self-supervised Representation Learning From Random Data Projectors

A self-supervised network for image denoising and watermark removal (Neural Networks 2024)