SOTAVerified

Contrastive Learning

Contrastive Learning is a deep learning technique for unsupervised representation learning. The goal is to learn a representation of data such that similar instances are close together in the representation space, while dissimilar instances are far apart.

It has been shown to be effective in various computer vision and natural language processing tasks, including image retrieval, zero-shot learning, and cross-modal retrieval. In these tasks, the learned representations can be used as features for downstream tasks such as classification and clustering.

(Image credit: Schroff et al. 2015)

Papers

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Showing 701–750 of 6661 papers

TitleStatusHype
Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with Small Datasets in Deep Learning for Medical ImagingCode1
AD-CLIP: Adapting Domains in Prompt Space Using CLIPCode1
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imagingCode1
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance AnnotationCode1
Prompted Contrast with Masked Motion Modeling: Towards Versatile 3D Action Representation LearningCode1
SSL-SoilNet: A Hybrid Transformer-based Framework with Self-Supervised Learning for Large-scale Soil Organic Carbon PredictionCode1
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID DataCode1
Source-free Domain Adaptive Human Pose EstimationCode1
One-stage Low-resolution Text Recognition with High-resolution Knowledge TransferCode1
Unsupervised Representation Learning for Time Series: A ReviewCode1
Relational Contrastive Learning for Scene Text RecognitionCode1
VG-SSL: Benchmarking Self-supervised Representation Learning Approaches for Visual Geo-localizationCode1
CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent MaskingCode1
Scaling Sentence Embeddings with Large Language ModelsCode1
JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh RecoveryCode1
Self-Contrastive Graph Diffusion NetworkCode1
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical ImagesCode1
Learning Multi-modal Representations by Watching Hundreds of Surgical Video LecturesCode1
Entropy Neural Estimation for Graph Contrastive LearningCode1
Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure NetworkCode1
Unmasking Anomalies in Road-Scene SegmentationCode1
CLIP-KD: An Empirical Study of CLIP Model DistillationCode1
PRIOR: Prototype Representation Joint Learning from Medical Images and ReportsCode1
Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-IdentificationCode1
Multi-View Vertebra Localization and Identification from CT ImagesCode1
Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive FrameworkCode1
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive LearningCode1
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image SegmentationCode1
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT DenoisingCode1
Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image SynthesisCode1
Density-invariant Features for Distant Point Cloud RegistrationCode1
Semantic-Aware Dual Contrastive Learning for Multi-label Image ClassificationCode1
Multi-Grained Multimodal Interaction Network for Entity LinkingCode1
Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive LearningCode1
Neural Architecture RetrievalCode1
Mini-Batch Optimization of Contrastive LossCode1
Contrastive Learning for Conversion Rate PredictionCode1
Generative Contrastive Graph Learning for RecommendationCode1
Towards Cross-Table Masked Pretraining for Web Data MiningCode1
Weakly-supervised positional contrastive learning: application to cirrhosis classificationCode1
mCLIP: Multilingual CLIP via Cross-lingual TransferCode1
ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion ClassificationCode1
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive LearningCode1
Knowledge Graph Self-Supervised Rationalization for RecommendationCode1
Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive LearningCode1
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio DataCode1
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You NeedCode1
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic SegmentationCode1
Protein-DNA binding sites prediction based on pre-trained protein language model and contrastive learningCode1
Subclass-balancing Contrastive Learning for Long-tailed RecognitionCode1
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All datasetsimagenet-1k10,000 People - Human Pose Recognition DataCIFAR-10STL-10

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ResNet50ImageNet Top-1 Accuracy73.6—Unverified
2ResNet50ImageNet Top-1 Accuracy73—Unverified
3ResNet50ImageNet Top-1 Accuracy71.1—Unverified
4ResNet50ImageNet Top-1 Accuracy69.3—Unverified
5ResNet50 (v2)ImageNet Top-1 Accuracy67.6—Unverified
6ResNet50 (v2)ImageNet Top-1 Accuracy63.8—Unverified
7ResNet50ImageNet Top-1 Accuracy63.6—Unverified
8ResNet50ImageNet Top-1 Accuracy61.5—Unverified
9ResNet50ImageNet Top-1 Accuracy61.5—Unverified
10ResNet50 (4×)ImageNet Top-1 Accuracy61.3—Unverified
#ModelMetricClaimedVerifiedStatus
110..5sec1—Unverified
#ModelMetricClaimedVerifiedStatus
1IPCL (ResNet18)Accuracy (Top-1)84.77—Unverified
#ModelMetricClaimedVerifiedStatus
1IPCL (ResNet18)Accuracy (Top-1)85.55—Unverified