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 3351–3400 of 5044 papers

TitleStatusHype
Self-Supervised Learning for Invariant Representations from Multi-Spectral and SAR Images—0
TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation RecognitionCode1
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
FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation—0
Self-supervised Semantic-driven Phoneme Discovery for Zero-resource Speech Recognition—0
SCD: Self-Contrastive Decorrelation of Sentence EmbeddingsCode1
Utilizing Cross-Modal Contrastive Learning to Improve Item Categorization BERT Model—0
On Negative Sampling for Audio-Visual Contrastive Learning from Movies—0
Offline Visual Representation Learning for Embodied NavigationCode1
3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal PerspectiveCode1
Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?—0
Self-Supervised Learning of Object Parts for Semantic SegmentationCode1
Label Anchored Contrastive Learning for Language Understanding—0
Context-Aware Sequence Alignment using 4D Skeletal AugmentationCode1
Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio RepresentationCode1
ATST: Audio Representation Learning with Teacher-Student TransformerCode1
Hypergraph Contrastive Collaborative FilteringCode1
Masked Image Modeling Advances 3D Medical Image Analysis—0
Translation between Molecules and Natural LanguageCode1
Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping—0
Improving Self-Supervised Learning-based MOS Prediction NetworksCode0
Federated Contrastive Learning for Volumetric Medical Image Segmentation—0
Unified Pretraining Framework for Document Understanding—0
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image AnalysisCode1
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain ImagesCode0
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation—0
BTranspose: Bottleneck Transformers for Human Pose Estimation with Self-Supervised Pre-Training—0
Infusing Linguistic Knowledge of SMILES into Chemical Language Models—0
Generative or Contrastive? Phrase Reconstruction for Better Sentence Representation Learning—0
Self-supervised Learning for Sonar Image ClassificationCode1
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling SpeakersCode2
Time-based Self-supervised Learning for Wireless Capsule Endoscopy—0
Rumor Detection with Self-supervised Learning on Texts and Social Graph—0
Self-Supervised Equivariant Learning for Oriented Keypoint DetectionCode1
Less than Few: Self-Shot Video Instance Segmentation—0
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime PredictionCode1
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural RepresentationCode1
Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base—0
BYOL for Audio: Exploring Pre-trained General-purpose Audio RepresentationsCode2
Image Captioning In the Transformer AgeCode1
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical ImagingCode1
DeiT III: Revenge of the ViTCode1
Imposing Consistency for Optical Flow Estimation—0
Masked Siamese Networks for Label-Efficient LearningCode2
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion RecognitionCode1
AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised LearningCode2
Self-supervised Vision Transformers for Joint SAR-optical Representation LearningCode1
Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts—0
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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