89 Open source projects that are alternatives of or similar to self6dpp

Official codes: Self-Supervised Learning by Estimating Twin Class Distribution

Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection, AAAI 2021.

Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

A library for graph deep learning research

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

DPOD: 6D Pose Estimator

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

supervised and semi-supervised image classification with self-supervision (Keras)

Detect (classify and localize) people, pets and objects using millimeter-wave radar.

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.

GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

A comprehensive list of awesome contrastive self-supervised learning papers.

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Implementation of Barlow Twins paper

Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.

Neural Relation Understanding: neural cardinality estimators for tabular data

Whitening for Self-Supervised Representation Learning | Official repository

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

official implemntation for "Contrastive Learning with Stronger Augmentations"

Self-supervised Spatiotemporal Learning via Video Clip Order Prediction

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，BEiT，MAE等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

Official PyTorch implementation of Contrastive Learning of Musical Representations

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

[ICRA 2020] Train generalizable policies for kit assembly with self-supervised dense correspondence learning.

Awesome Graph Self-Supervised Learning

Exploring Simple Siamese Representation Learning

Code for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).