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

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

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

Efficient computing methods developed by Huawei Noah's Ark Lab

DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

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

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

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

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

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

[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