self-supervised
There are 105 repositories under self-supervised topic.
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
timeseriesAI/tsai
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
OpenGVLab/InternVideo
[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
pathak22/noreward-rl
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
huawei-noah/Efficient-Computing
Efficient computing methods developed by Huawei Noah's Ark Lab
Sense-GVT/DeCLIP
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
nianticlabs/manydepth
[CVPR 2021] Self-supervised depth estimation from short sequences
dev-sungman/Awesome-Self-Supervised-Papers
Paper bank for Self-Supervised Learning
dddzg/up-detr
[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
Atcold/pytorch-CortexNet
PyTorch implementation of the CortexNet predictive model
astra-vision/SceneRF
[ICCV 2023] Official implementation of "SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields"
hendrycks/ss-ood
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
Brummi/BehindTheScenes
Official implementation of the paper: Behind the Scenes: Density Fields for Single View Reconstruction (CVPR 2023)
Mountchicken/Union14M
[ICCV 2023] Code base for Revisiting Scene Text Recognition: A Data Perspective
chao1224/GraphMVP
Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)
med-air/Endo-FM
[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
svip-lab/Indoor-SfMLearner
[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
XiaohangZhan/conditional-motion-propagation
Code for our CVPR 2019 work.
prstrive/EPCDepth
[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
pathak22/exploration-by-disagreement
[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
zhangyi-3/IDR
Self-Supervised Image Denoising via Iterative Data Refinement (CVPR2022)
brandleyzhou/DIFFNet
[BMVC 2021] ''Self-Supervised Monocular Depth Estimation with Internal Feature Fusion''
md4all/md4all
Source code for the ICCV 2023 paper: Robust Monocular Depth Estimation under Challenging Conditions
wooseoklee4/AP-BSN
Official PyTorch implementation of "AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network" in CVPR 2022.
akwasigroch/Pretext-Invariant-Representations
Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations
KleinYuan/LiCaS3
[T-RO 2022] Official Implementation for "LiCaS3: A Simple LiDAR–Camera Self-Supervised Synchronization Method," in IEEE Transactions on Robotics, doi: 10.1109/TRO.2022.3167455.
xingyuuchen/tri-depth
[WACV 2023] Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
royerlab/cytoself
Self-supervised models for encoding protein localization patterns from microscopy images
Junpliu/ConDigSum
Code for EMNLP 2021 paper "Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization"
XiangZ-0/EVDI
Implementation of CVPR'22 paper "Unifying Motion Deblurring and Frame Interpolation with Events"
jason718/game-feature-learning
Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18
Toytiny/RaFlow
[RA-L & IROS'22] Self-Supervised Scene Flow Estimation with 4-D Automotive Radar
ranahanocka/ALIGNet
code to train a neural network to align pairs of shapes without needing ground truth warps for supervision
hirokiyokoyama/tracking_via_colorizing
Tensorflow implementation of CNN described in https://arxiv.org/abs/1806.09594
V2AI/SelfSup
Collections of self-supervised methods, based on cvpods.
diegovalsesia/speckle2void
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks