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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2976–3000 of 6661 papers

Title	Date	Tasks	Status	Hype
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model	Sep 12, 2023	AttributeContrastive Learning	CodeCode Available	0
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration	Sep 12, 2023	Contrastive LearningImage Dehazing	CodeCode Available	1
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning	Sep 12, 2023	Contrastive LearningMedical Image Analysis	CodeCode Available	1
Grounded Language Acquisition From Object and Action Imagery	Sep 12, 2023	Action RecognitionContrastive Learning	—Unverified	0
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-supervised Skeleton-based Action Recognition	Sep 11, 2023	Action RecognitionContrastive Learning	—Unverified	0
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning	Sep 11, 2023	Contrastive LearningHyperedge Prediction	CodeCode Available	0
Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals	Sep 11, 2023	Contrastive LearningMedical Diagnosis	—Unverified	0
OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data	Sep 11, 2023	Contrastive LearningDomain Generalization	CodeCode Available	1
Panoptic Vision-Language Feature Fields	Sep 11, 2023	Contrastive LearningInstance Segmentation	CodeCode Available	1
Multi3DRefer: Grounding Text Description to Multiple 3D Objects	Sep 11, 2023	3D visual groundingContrastive Learning	CodeCode Available	1
Graph-Aware Contrasting for Multivariate Time-Series Classification	Sep 11, 2023	ClassificationContrastive Learning	CodeCode Available	1
ImitationNet: Unsupervised Human-to-Robot Motion Retargeting via Shared Latent Space	Sep 11, 2023	Collision AvoidanceContrastive Learning	—Unverified	0
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation	Sep 10, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
Unified Contrastive Fusion Transformer for Multimodal Human Action Recognition	Sep 10, 2023	Action RecognitionContrastive Learning	—Unverified	0
Latent Spatiotemporal Adaptation for Generalized Face Forgery Video Detection	Sep 9, 2023	Contrastive LearningRepresentation Learning	—Unverified	0
Unsupervised Gaze-aware Contrastive Learning with Subject-specific Condition	Sep 8, 2023	Contrastive LearningData Augmentation	—Unverified	0
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation	Sep 8, 2023	Anomaly SegmentationAutonomous Driving	—Unverified	0
Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation	Sep 7, 2023	Contrastive Learningcross-modal alignment	—Unverified	0
Label-efficient Contrastive Learning-based model for nuclei detection and classification in 3D Cardiovascular Immunofluorescent Images	Sep 7, 2023	Contrastive Learning	—Unverified	0
M(otion)-mode Based Prediction of Ejection Fraction using Echocardiograms	Sep 7, 2023	Contrastive LearningDiagnostic	CodeCode Available	0
Toward High Quality Facial Representation Learning	Sep 7, 2023	Contrastive LearningDecoder	CodeCode Available	1
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection	Sep 7, 2023	ArticlesContrastive Learning	CodeCode Available	1
Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening	Sep 6, 2023	ClassificationContrastive Learning	CodeCode Available	0
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference	Sep 6, 2023	Contrastive LearningGraph Representation Learning	—Unverified	0
Contrastive Learning as Kernel Approximation	Sep 6, 2023	Contrastive LearningLearning Theory	—Unverified	0

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All datasets imagenet-1k 10,000 People - Human Pose Recognition Data CIFAR-10 STL-10

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ResNet50	ImageNet Top-1 Accuracy	73.6	—	Unverified
2	ResNet50	ImageNet Top-1 Accuracy	73	—	Unverified
3	ResNet50	ImageNet Top-1 Accuracy	71.1	—	Unverified
4	ResNet50	ImageNet Top-1 Accuracy	69.3	—	Unverified
5	ResNet50 (v2)	ImageNet Top-1 Accuracy	67.6	—	Unverified
6	ResNet50 (v2)	ImageNet Top-1 Accuracy	63.8	—	Unverified
7	ResNet50	ImageNet Top-1 Accuracy	63.6	—	Unverified
8	ResNet50	ImageNet Top-1 Accuracy	61.5	—	Unverified
9	ResNet50	ImageNet Top-1 Accuracy	61.5	—	Unverified
10	ResNet50 (4×)	ImageNet Top-1 Accuracy	61.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1	0..5sec	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IPCL (ResNet18)	Accuracy (Top-1)	84.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IPCL (ResNet18)	Accuracy (Top-1)	85.55	—	Unverified