SOTAVerified

Self-Supervised Learning

Self-Supervised Learning is proposed for utilizing unlabeled data with the success of supervised learning. Producing a dataset with good labels is expensive, while unlabeled data is being generated all the time. The motivation of Self-Supervised Learning is to make use of the large amount of unlabeled data. The main idea of Self-Supervised Learning is to generate the labels from unlabeled data, according to the structure or characteristics of the data itself, and then train on this unsupervised data in a supervised manner. Self-Supervised Learning is wildly used in representation learning to make a model learn the latent features of the data. This technique is often employed in computer vision, video processing and robot control.

Source: Self-supervised Point Set Local Descriptors for Point Cloud Registration

Image source: LeCun

Papers

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Showing 851–900 of 5044 papers

TitleStatusHype
KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property PredictionCode1
Hyperspherical Consistency RegularizationCode1
Where are my Neighbors? Exploiting Patches Relations in Self-Supervised Vision TransformerCode1
Efficient Self-supervised Vision Pretraining with Local Masked ReconstructionCode1
Self-Supervised Visual Representation Learning with Semantic GroupingCode1
MetaSSD: Meta-Learned Self-Supervised DetectionCode1
GMML is All you NeedCode1
A Closer Look at Self-Supervised Lightweight Vision TransformersCode1
Semantic-aware Dense Representation Learning for Remote Sensing Image Change DetectionCode1
Raising the Bar in Graph-level Anomaly DetectionCode1
Cross-Architecture Self-supervised Video Representation LearningCode1
HIRL: A General Framework for Hierarchical Image Representation LearningCode1
Contrastive Learning with Boosted MemorizationCode1
Orchestra: Unsupervised Federated Learning via Globally Consistent ClusteringCode1
Active Learning Through a Covering LensCode1
AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking KeypointsCode1
DEER: Descriptive Knowledge Graph for Explaining Entity RelationshipsCode1
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2NoiseCode1
Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity RecognitionCode1
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)Code1
Voice Activity Projection: Self-supervised Learning of Turn-taking EventsCode1
Free Lunch for Surgical Video Understanding by Distilling Self-SupervisionsCode1
Global Contrast Masked Autoencoders Are Powerful Pathological Representation LearnersCode1
Learning Representations for New Sound Classes With Continual Self-Supervised LearningCode1
Self-supervised Assisted Active Learning for Skin Lesion SegmentationCode1
Near out-of-distribution detection for low-resolution radar micro-Doppler signaturesCode1
Scene Consistency Representation Learning for Video Scene SegmentationCode1
Multiplexed Immunofluorescence Brain Image Analysis Using Self-Supervised Dual-Loss Adaptive Masked AutoencoderCode1
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest RadiographsCode1
Multimodal Semi-Supervised Learning for Text RecognitionCode1
TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation RecognitionCode1
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slidesCode1
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time SeriesCode1
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellationCode1
3D Object Detection with a Self-supervised Lidar Scene Flow BackboneCode1
SCD: Self-Contrastive Decorrelation of Sentence EmbeddingsCode1
Offline Visual Representation Learning for Embodied NavigationCode1
Self-Supervised Learning of Object Parts for Semantic SegmentationCode1
3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal PerspectiveCode1
Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio RepresentationCode1
Hypergraph Contrastive Collaborative FilteringCode1
ATST: Audio Representation Learning with Teacher-Student TransformerCode1
Context-Aware Sequence Alignment using 4D Skeletal AugmentationCode1
Translation between Molecules and Natural LanguageCode1
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image AnalysisCode1
Self-supervised Learning for Sonar Image ClassificationCode1
Self-Supervised Equivariant Learning for Oriented Keypoint DetectionCode1
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime PredictionCode1
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural RepresentationCode1
Image Captioning In the Transformer AgeCode1
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All datasetsDABSSTL-10CIFAR10cifar100ImageNet-100 (TEMI Split)TinyImageNetCIFAR-10CIFAR-100CREMA-DTiny ImageNet

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Pretraining: NoneImages & Text57.5—Unverified
2Pretraining: ShEDImages & Text54.3—Unverified
3Pretraining: e-MixImages & Text48.9—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50Accuracy91.7—Unverified
2ResNet18Accuracy91.02—Unverified
3MV-MRAccuracy89.67—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50average top-1 classification accuracy93.89—Unverified
2ResNet18average top-1 classification accuracy92.58—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50average top-1 classification accuracy72.51—Unverified
2ResNet18average top-1 classification accuracy69.31—Unverified
#ModelMetricClaimedVerifiedStatus
1CorInfomax (ResNet50)Top-1 Accuracy82.64—Unverified
2CorInfomax (ResNet18)Top-1 Accuracy80.48—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50average top-1 classification accuracy51.84—Unverified
2ResNet18average top-1 classification accuracy51.67—Unverified
#ModelMetricClaimedVerifiedStatus
1CorInfomax (ResNet18)Top-1 Accuracy93.18—Unverified
#ModelMetricClaimedVerifiedStatus
1CorInfomax (ResNet18)Top-1 Accuracy71.61—Unverified
#ModelMetricClaimedVerifiedStatus
1Hybrid BYOL-S/CvTAccuracy67.2—Unverified
#ModelMetricClaimedVerifiedStatus
1CorInfomax (ResNet50)Top-1 Accuracy54.86—Unverified