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 1176–1200 of 6661 papers

Title	Date	Tasks	Status	Hype
Correspondence Matters for Video Referring Expression Comprehension	Jul 21, 2022	Contrastive LearningReferring Expression	CodeCode Available	1
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition	Jul 20, 2022	3D Action RecognitionAction Recognition	CodeCode Available	1
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning	Jul 20, 2022	Action DetectionAction Recognition	CodeCode Available	1
Feature Representation Learning for Unsupervised Cross-domain Image Retrieval	Jul 20, 2022	Contrastive LearningImage Retrieval	CodeCode Available	1
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation	Jul 19, 2022	Contrastive LearningFederated Learning	CodeCode Available	1
Simplified Transfer Learning for Chest Radiography Models Using Less Data	Jul 19, 2022	Contrastive LearningTransfer Learning	CodeCode Available	1
Balanced Contrastive Learning for Long-Tailed Visual Recognition	Jul 19, 2022	Contrastive LearningImage Classification	CodeCode Available	1
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs	Jul 18, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions	Jul 18, 2022	Contrastive LearningDiffusion MRI	CodeCode Available	1
Adversarial Contrastive Learning via Asymmetric InfoNCE	Jul 18, 2022	Adversarial RobustnessContrastive Learning	CodeCode Available	1
Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial Patches	Jul 17, 2022	Contrastive LearningLinear evaluation	CodeCode Available	1
FashionViL: Fashion-Focused Vision-and-Language Representation Learning	Jul 17, 2022	Contrastive LearningImage Retrieval	CodeCode Available	1
X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval	Jul 15, 2022	Contrastive LearningRetrieval	CodeCode Available	1
Deep Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks	Jul 14, 2022	ClusteringContrastive Learning	CodeCode Available	1
Benchmarking Omni-Vision Representation through the Lens of Visual Realms	Jul 14, 2022	BenchmarkingContrastive Learning	CodeCode Available	1
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images	Jul 14, 2022	Contrastive LearningSaliency Detection	CodeCode Available	1
Contrastive Deep Supervision	Jul 12, 2022	Contrastive LearningFine-Grained Image Classification	CodeCode Available	1
Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion Recognition	Jul 12, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
Towards Proper Contrastive Self-supervised Learning Strategies For Music Audio Representation	Jul 10, 2022	Contrastive LearningInformation Retrieval	CodeCode Available	1
Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and Preparation	Jul 8, 2022	BlockingContrastive Learning	CodeCode Available	1
DLME: Deep Local-flatness Manifold Embedding	Jul 7, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition	Jul 7, 2022	Action RecognitionContrastive Learning	CodeCode Available	1
Network Binarization via Contrastive Learning	Jul 6, 2022	BinarizationContrastive Learning	CodeCode Available	1
Integrating multi-label contrastive learning with dual adversarial graph neural networks for cross-modal retrieval	Jul 5, 2022	Contrastive LearningCross-Modal Retrieval	CodeCode Available	1
Deep Contrastive One-Class Time Series Anomaly Detection	Jul 4, 2022	Anomaly DetectionContrastive Learning	CodeCode Available	1

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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