A curated list of awesome self-supervised methods

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

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

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

Efficient computing methods developed by Huawei Noah's Ark Lab

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

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

Paper bank for Self-Supervised Learning

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

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

PyTorch implementation of the CortexNet predictive model

LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

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

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

[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

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

Code for our CVPR 2019 work.

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

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