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 751–775 of 6661 papers

Title	Date	Tasks	Status	Hype	Score
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning	Jul 27, 2020	3D Human Pose Estimation3D Shape Reconstruction	CodeCode Available	1	5
Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition	Jul 7, 2022	Action RecognitionContrastive Learning	CodeCode Available	1	5
Behavior Contrastive Learning for Unsupervised Skill Discovery	May 8, 2023	continuous-controlContinuous Control	CodeCode Available	1	5
Capsule Network based Contrastive Learning of Unsupervised Visual Representations	Sep 22, 2022	Contrastive Learningimage-classification	CodeCode Available	1	5
Contrastive Learning Is Spectral Clustering On Similarity Graph	Mar 27, 2023	ClusteringContrastive Learning	CodeCode Available	1	5
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning	Jul 7, 2023	Contrastive Learningreinforcement-learning	CodeCode Available	1	5
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection	Aug 18, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
Feature Stylization and Domain-aware Contrastive Learning for Domain Generalization	Aug 19, 2021	Contrastive LearningDomain Generalization	CodeCode Available	1	5
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding	Apr 19, 2023	Change DetectionContrastive Learning	CodeCode Available	1	5
BECLR: Batch Enhanced Contrastive Few-Shot Learning	Feb 4, 2024	Contrastive LearningFew-Shot Image Classification	CodeCode Available	1	5
CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph Augmentation	May 20, 2024	Contrastive LearningGraph Attention	CodeCode Available	1	5
Contrastive Learning of Generalized Game Representations	Jun 18, 2021	Contrastive LearningImage Classification	CodeCode Available	1	5
Contrastive learning of global and local features for medical image segmentation with limited annotations	Jun 18, 2020	Contrastive LearningData Augmentation	CodeCode Available	1	5
Contrastive Learning of Musical Representations	Mar 17, 2021	Contrastive LearningLinear evaluation	CodeCode Available	1	5
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks	Jun 5, 2021	Contrastive LearningDomain Adaptation	CodeCode Available	1	5
Contrastive Learning of Global-Local Video Representations	Apr 7, 2021	ClassificationContrastive Learning	CodeCode Available	1	5
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation	Oct 4, 2022	3D Semantic SegmentationContrastive Learning	CodeCode Available	1	5
From t-SNE to UMAP with contrastive learning	Jun 3, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1	5
A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-Supervision	Jun 21, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1	5
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation	Jun 15, 2022	Contrastive LearningDenoising	CodeCode Available	1	5
Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs	Jan 8, 2025	Contrastive Learning	CodeCode Available	1	5
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning	Sep 12, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
A Review-aware Graph Contrastive Learning Framework for Recommendation	Apr 26, 2022	Contrastive LearningRecommendation Systems	CodeCode Available	1	5
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation	Aug 8, 2022	Contrastive LearningSequential Recommendation	CodeCode Available	1	5
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning	Apr 24, 2020	Contrastive LearningDisentanglement	CodeCode Available	1	5

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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