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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4801–4850 of 5044 papers

TitleStatusHype
Learning Speech Representations from Raw Audio by Joint Audiovisual Self-Supervision—0
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive CraniectomyCode0
Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation—0
Self-supervised Neural Architecture Search—0
Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D Computed Tomography—0
A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks—0
Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANsCode0
Self-Supervised Learning of a Biologically-Inspired Visual Texture Model—0
Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networks—0
Simulation of Brain Resection for Cavity Segmentation Using Self-Supervised and Semi-Supervised LearningCode0
​4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
Region-of-interest guided Supervoxel Inpainting for Self-supervisionCode0
Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights—0
Don’t Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights—0
Unsupervised Image Classification for Deep Representation LearningCode0
Embodied Self-supervised Learning by Coordinated Sampling and Training—0
Adversarial Transfer of Pose Estimation Regression—0
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms—0
Self-Supervised Representation Learning for Visual Anomaly Detection—0
Self-supervised Learning: Generative or Contrastive—0
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition—0
Video Understanding as Machine Translation—0
Longitudinal Self-Supervised Learning—0
MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network—0
Self-Supervised Learning Aided Class-Incremental Lifelong Learning—0
Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning—0
Self-Supervised Reinforcement Learning for Recommender Systems—0
Unsupervised Transfer Learning with Self-Supervised Remedy—0
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised LearningCode0
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning—0
Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning—0
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution—0
Audio ALBERT: A Lite BERT for Self-supervised Learning of Audio RepresentationCode0
CERT: Contrastive Self-supervised Learning for Language UnderstandingCode0
Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition?—0
Self-Supervised Learning of Appliance Usage—0
Seeing voices and hearing voices: learning discriminative embeddings using cross-modal self-supervision—0
UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP—0
On the Role of Visual Cues in Audiovisual Speech Enhancement—0
Self-supervised Learning for Astronomical Image Classification—0
Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans—0
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges—0
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning—0
Distilling Localization for Self-Supervised Representation Learning—0
Contrastive Blind Denoising Autoencoder for Real-Time Denoising of Industrial IoT Sensor Data—0
RealMonoDepth: Self-Supervised Monocular Depth Estimation for General Scenes—0
Monocular Depth Estimation with Self-supervised Instance Adaptation—0
Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences—0
A Review on Deep Learning Techniques for Video Prediction—0
Show:102550
← PrevPage 97 of 101Next →
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