111 Open source projects that are alternatives of or similar to S2-BNN

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

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

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

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

List of Publications in Graph Contrastive Learning

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

Official implementation for "Image Quality Assessment using Contrastive Learning"

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

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

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

Generalized Deep Metric Learning.

Official PyTorch implementation of Contrastive Learning of Musical Representations

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

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

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

official implemntation for "Contrastive Learning with Stronger Augmentations"

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

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

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

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

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

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

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

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

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

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

No description or website provided.

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

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

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

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

Code for EMNLP 2021 paper "Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization"

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).

Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.

PyTorch implementation of binary neural networks

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

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

Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021

Whitening for Self-Supervised Representation Learning | Official repository

Code and resources on scalable and efficient Graph Neural Networks

Siamese and triplet networks with online pair/triplet mining in PyTorch

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

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

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

Self-supervised Spatiotemporal Learning via Video Clip Order Prediction

Writer independent offline signature verification using convolutional siamese networks

A library for graph deep learning research

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

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

An open source implementation of CLIP.

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

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

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

Neural Relation Understanding: neural cardinality estimators for tabular data

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

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

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

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

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