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 2071–2080 of 6661 papers

Title	Date	Tasks	Status	Score
Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning	Feb 27, 2024	Contrastive LearningRepresentation Learning	CodeCode Available	5
MMCL: Boosting Deformable DETR-Based Detectors with Multi-Class Min-Margin Contrastive Learning for Superior Prohibited Item Detection	Jun 5, 2024	Contrastive Learning	CodeCode Available	5
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation	Jul 5, 2022	Contrastive LearningImage Segmentation	CodeCode Available	5
Model-Contrastive Learning for Backdoor Defense	May 9, 2022	Backdoor Attackbackdoor defense	CodeCode Available	5
DELTA: Decoupling Long-Tailed Online Continual Learning	Apr 6, 2024	Continual LearningContrastive Learning	CodeCode Available	5
DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive Learning	Apr 2, 2024	Contrastive LearningDecision Making	CodeCode Available	5
Mix-Domain Contrastive Learning for Unpaired H&E-to-IHC Stain Translation	Jun 17, 2024	Contrastive LearningTranslation	CodeCode Available	5
Acoustic word embeddings for zero-resource languages using self-supervised contrastive learning and multilingual adaptation	Mar 19, 2021	Contrastive LearningWord Embeddings	CodeCode Available	5
Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning	Nov 11, 2023	Contrastive LearningDrug Discovery	CodeCode Available	5
Deep Unsupervised Learning for 3D ALS Point Cloud Change Detection	May 5, 2023	Change DetectionContrastive Learning	CodeCode Available	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