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

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

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

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

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

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

Implementation of Barlow Twins paper

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

Awesome Graph Self-Supervised Learning

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

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).

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

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

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

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

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

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

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

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

PyTorch implementation of the InfoNCE loss for self-supervised learning.

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

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

Whitening for Self-Supervised Representation Learning | Official repository

Exploring Simple Siamese Representation Learning

Self-supervised Spatiotemporal Learning via Video Clip Order Prediction

Neural Relation Understanding: neural cardinality estimators for tabular data

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

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

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

Library - Vanilla, ViT, DeiT, BERT, GPT

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

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

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

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

A curated list of awesome graph & self-supervised-learning-based recommendation.

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

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

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

Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.

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

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

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

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

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

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

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

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

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

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

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

Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

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

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

A library for graph deep learning research

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

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A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

Variants of Vision Transformer and its downstream tasks

Generalized Deep Metric Learning.

Official PyTorch implementation of Contrastive Learning of Musical Representations

official implemntation for "Contrastive Learning with Stronger Augmentations"