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 3701–3710 of 6661 papers

Title	Date	Tasks	Status	Hype
WM-MoE: Weather-aware Multi-scale Mixture-of-Experts for Blind Adverse Weather Removal	Mar 24, 2023	Autonomous DrivingContrastive Learning	—Unverified	0
Local Contrastive Learning for Medical Image Recognition	Mar 24, 2023	Contrastive Learning	—Unverified	0
Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning	Mar 23, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	0
Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning	Mar 23, 2023	Contrastive LearningImage Inpainting	CodeCode Available	1
Low-Light Image Enhancement by Learning Contrastive Representations in Spatial and Frequency Domains	Mar 23, 2023	Contrastive LearningImage Enhancement	—Unverified	0
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology	Mar 23, 2023	Contrastive Learningimbalanced classification	—Unverified	0
ReVersion: Diffusion-Based Relation Inversion from Images	Mar 23, 2023	Contrastive LearningFew-Shot Learning	CodeCode Available	2
Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection	Mar 23, 2023	Anomaly DetectionContrastive Learning	—Unverified	0
Preventing Dimensional Collapse of Incomplete Multi-View Clustering via Direct Contrastive Learning	Mar 22, 2023	ClusteringContrastive Learning	—Unverified	0
Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder	Mar 22, 2023	Contrastive LearningManagement	—Unverified	0

Show:10 25 50

← PrevPage 371 of 667Next →

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