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

Showing 24762500 of 6661 papers

TitleStatusHype
Contrastive Learning for Implicit Social Factors in Social Media Popularity PredictionCode0
Contrastive Learning for Image Registration in Visual Teach and Repeat NavigationCode0
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential RecommendationCode0
Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation SpaceCode0
Less Attention is More: Prompt Transformer for Generalized Category DiscoveryCode0
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive LearningCode0
Multi-View Action Recognition Using Contrastive LearningCode0
Learning to Locate Visual Answer in Video Corpus Using QuestionCode0
Anatomy-Aware Contrastive Representation Learning for Fetal UltrasoundCode0
Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case StudyCode0
Learning Transferable Pedestrian Representation from Multimodal Information SupervisionCode0
Learning Tree-Structured Composition of Data AugmentationCode0
3C: Confidence-Guided Clustering and Contrastive Learning for Unsupervised Person Re-IdentificationCode0
Learning the Simplicity of Scattering AmplitudesCode0
Bitext Mining for Low-Resource Languages via Contrastive LearningCode0
Learning Text Similarity with Siamese Recurrent NetworksCode0
Contrastive Learning for Character Detection in Ancient Greek PapyriCode0
Contrastive Learning for API Aspect AnalysisCode0
Contrastive Learning enhanced Author-Style Headline GenerationCode0
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language ModelsCode0
Learning Semi-Supervised Medical Image Segmentation from Spatial RegistrationCode0
Learning Node Representations against PerturbationsCode0
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative WordsCode0
Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography ImagesCode0
Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus ImagesCode0
Show:102550
← PrevPage 100 of 267Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ResNet50ImageNet Top-1 Accuracy73.6Unverified
2ResNet50ImageNet Top-1 Accuracy73Unverified
3ResNet50ImageNet Top-1 Accuracy71.1Unverified
4ResNet50ImageNet Top-1 Accuracy69.3Unverified
5ResNet50 (v2)ImageNet Top-1 Accuracy67.6Unverified
6ResNet50 (v2)ImageNet Top-1 Accuracy63.8Unverified
7ResNet50ImageNet Top-1 Accuracy63.6Unverified
8ResNet50ImageNet Top-1 Accuracy61.5Unverified
9ResNet50ImageNet Top-1 Accuracy61.5Unverified
10ResNet50 (4×)ImageNet Top-1 Accuracy61.3Unverified
#ModelMetricClaimedVerifiedStatus
110..5sec1Unverified
#ModelMetricClaimedVerifiedStatus
1IPCL (ResNet18)Accuracy (Top-1)84.77Unverified
#ModelMetricClaimedVerifiedStatus
1IPCL (ResNet18)Accuracy (Top-1)85.55Unverified