Computer Vision PASS: Pictures without humAns for Self-Supervised Pretraining PASS: Pictures without humAns for Self-Supervised Pretraining 23 September 2021
Graph Apply Graph Self-Supervised Learning methods to graph-level task Apply Graph Self-Supervised Learning methods to graph-level task 23 September 2021
Self-Supervised Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds 17 September 2021
Contrastive Learning Object-aware Contrastive Learning for Debiased Scene Representation Object-aware Contrastive Learning for Debiased Scene Representation 15 September 2021
Task UniLM AI: Large-scale Self-supervised Pre-training across Tasks, Languages, and Modalities UniLM AI - Large-scale Self-supervised Pre-training across Tasks, Languages, and Modalities 12 September 2021
Autonomous Driving Self-Supervised Pillar Motion Learning for Autonomous Driving Self-Supervised Pillar Motion Learning for Autonomous Driving 10 September 2021
Recommend Self-Supervised Graph Co-Training for Session-based Recommendation Self-Supervised Graph Co-Training for Session-based Recommendation 08 September 2021
Self-Supervised Graph-based Self-supervised Representation Learning for Medical Images Official PyTorch implementation for paper Context Matters: Graph-based Self-supervised Representation Learning for Medical Images 08 September 2021
Self-Supervised SSH: A Self-Supervised Framework for Image Harmonization SSH: A Self-Supervised Framework for Image Harmonization (ICCV 2021) 04 September 2021
Self-Supervised Leveraging the structural regularities for self-supervised indoor depth estimation StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation 24 August 2021
Self-Supervised Multi-Modal Self-Supervision using GDT and StiCa Multi-Modal Self-Supervision using GDT and StiCa 24 August 2021
Transformer Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers Code for CVPR 2021 paper: Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning 22 August 2021
Self-Supervised A Unified Framework for Self-Supervised Outlier Detection Code for our ICLR 2021 paper on outlier detection, titled SSD, without requiring class labels of in-distribution training data. 19 August 2021
Point Cloud 3D Point Cloud Registration with Multi-Scale Architecture and Self-supervised Fine-tuning MS-SVConv : 3D Point Cloud Registration with Multi-Scale Architecture and Self-supervised Fine-tuning 19 August 2021
Self-Supervised MoCo v3 for Self-supervised ResNet and ViT PyTorch implementation of MoCo v3 19 August 2021
Self-Supervised Self-Supervised Learning with Vision Transformers This is an official implementation for "Self-Supervised Learning with Swin Transformers". 12 August 2021
PyTorch PyTorch Implementation of Spatially Consistent Representation Learning PyTorch Implementation of Spatially Consistent Representation Learning(SCRL) 12 August 2021
Self-Supervised Self-Supervised Learning for Domain Adaptation on Point-Clouds Self-supervised learning (SSL) allows to learn useful representations from unlabeled data and has been applied effectively for domain adaptation (DA) on images. 11 August 2021
Transformer SiT: Self-supervised vIsion Transformer This repository contains the official PyTorch self-supervised pretraining, finetuning, and evaluation codes for SiT 10 August 2021
Self-Supervised Just Go with the Flow: Self-Supervised Scene Flow Estimation Code release for the paper Just Go with the Flow: Self-Supervised Scene Flow Estimation, CVPR 2020 (Oral). 10 August 2021