A curated list of awesome self-supervised methods
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Updated
Apr 13, 2024
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
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
Efficient computing methods developed by Huawei Noah's Ark Lab
[CVPR 2021] Self-supervised depth estimation from short sequences
PyTorch implementation of the CortexNet predictive model
[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
Video Foundation Models & Data for Multimodal Understanding
Paper bank for Self-Supervised Learning
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
[ICCV 2023] Official implementation of "SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields"
[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
[BMVC 2021] ''Self-Supervised Monocular Depth Estimation with Internal Feature Fusion''
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
code to train a neural network to align pairs of shapes without needing ground truth warps for supervision
Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18
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