A curated list of awesome self-supervised methods

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Efficient computing methods developed by Huawei Noah's Ark Lab

InternVideo: General Video Foundation Models via Generative and Discriminative Learning (https://arxiv.org/abs/2212.03191)

[CVPR 2021] Self-supervised depth estimation from short sequences

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

Paper bank for Self-Supervised Learning

[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

PyTorch implementation of the CortexNet predictive model

[ICCV 2023] Official implementation of "SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields"

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

Official implementation of the paper: Behind the Scenes: Density Fields for Single View Reconstruction (CVPR 2023)

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)

Code for our CVPR 2019 work.

[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation

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

[ICCV 2023] Code base for Revisiting Scene Text Recognition: A Data Perspective

[BMVC 2021] ''Self-Supervised Monocular Depth Estimation with Internal Feature Fusion''