Self-supervised Video Representation learning

PyTorch implementation of the CortexNet predictive model

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

Code for our CVPR 2019 work.

code to train a neural network to align pairs of shapes without needing ground truth warps for supervision

A research on self-supervised learning with the interest of applying it into NLP field.

Reproduction code for "Putting An End to End-to-End: Gradient-Isolated Learning of Representations"

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"

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 "PatchVAE: Learning Local Latent Codes for Recognition" to appear in CVPR 2020

Tensorflow implementation of CNN described in https://arxiv.org/abs/1806.09594

Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations

Pytorch Implementation of popular self-supervised models

PaintsTorch2: Self-Supervised User-Guided Anime Lineart Colorization https://yliess86.github.io/PaintsTorch2/

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

Implements and analyses frame-to-frame pixel reprojection for the Hypersim Evermotion data set.

MoCo v2 Pytorch tutorial, https://arxiv.org/abs/2003.04297

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

Collections of self-supervised methods, based on cvpods.

Multi-label classification based on timm, and add SimCLR to timm.