This repository Self, Semi Supervised Learning for Image Representation
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Updated
Feb 11, 2023
This repository Self, Semi Supervised Learning for Image Representation
The code for "Text-to-image synthesis with self-supervised learning"
JAX/Flax implementation of "VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning". ICLR 2022. https://arxiv.org/abs/2105.04906
Python library for self-supervised one-shot learning for automatic segmentation of GAN-generated images.
This is a playground for learning and working self-supervised learning and its applications.
Deep Active Learning Framework based on Self-supervised Learning (iSSL-AL) for Image Classification
Simple Pytorch Implementation of BYOL: Bootstrap Your Own Latent(https://arxiv.org/abs/2006.07733) [Colab Version Available]
PyTorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
This repository is the official implementation of the paper "ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms." ASSET achieves state-of-the-art reliability in detecting poisoned samples in end-to-end supervised learning/ self-supervised learning/ transfer learning.
Skeleton-based Self-Supervised Feature Extraction for Improved Dynamic Hand Gesture Recognition
PyTorch implementation of Efficient Visual Pretraining with Contrastive Detection.
Code for the ECCV22 paper Demystifying Unsupervised Semantic Correspondence Estimation
Self-supervised learning course at CS HSE
(ICCV2017) Tensorflow implementation of Representation Learning by Learning to Count
Segmentation of Multiple Sclerosis lesions with two approaches - transfer learning with weights pre-trained with segmentation on ImageNet dataset and transfer learning with weights from self-supervisied GAN training.
Paper review for Computer Vision and Self-Supervised Learning
End-to-End Conditional Poetry Generation
Source code of NeurIPS 2021 paper “Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media”
PyTorch implementation of SimSiam
Code for the paper "Instance Weighting through Data Imprecisiation" by Julian Lienen and Eyke Hüllermeier (International Journal of Approximate Reasoning [IJAR], 2021).
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