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 3676–3700 of 6661 papers

Title	Date	Tasks	Status	Hype
Spatiotemporal Self-supervised Learning for Point Clouds in the Wild	Mar 28, 2023	Contrastive LearningObject Tracking	CodeCode Available	1
Data Efficient Contrastive Learning in Histopathology using Active Sampling	Mar 28, 2023	Contrastive LearningSelf-Supervised Learning	CodeCode Available	0
Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment	Mar 28, 2023	ClusteringContrastive Learning	—Unverified	0
Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval	Mar 28, 2023	Action RecognitionContrastive Learning	—Unverified	0
Meeting Action Item Detection with Regularized Context Modeling	Mar 27, 2023	Contrastive Learning	—Unverified	0
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens	Mar 27, 2023	Contrastive Learningcross-modal alignment	CodeCode Available	1
Text-to-Image Diffusion Models are Zero-Shot Classifiers	Mar 27, 2023	AttributeContrastive Learning	CodeCode Available	0
Sigmoid Loss for Language Image Pre-Training	Mar 27, 2023	Contrastive LearningDisentanglement	CodeCode Available	3
Leveraging Hidden Positives for Unsupervised Semantic Segmentation	Mar 27, 2023	Contrastive LearningSemantic Segmentation	CodeCode Available	1
Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time	Mar 27, 2023	Contrastive LearningDeblurring	CodeCode Available	1
Generalizable Denoising of Microscopy Images using Generative Adversarial Networks and Contrastive Learning	Mar 27, 2023	Contrastive LearningDenoising	—Unverified	0
Contrastive Learning Is Spectral Clustering On Similarity Graph	Mar 27, 2023	ClusteringContrastive Learning	CodeCode Available	1
GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents	Mar 26, 2023	Contrastive LearningGesture Generation	CodeCode Available	2
A Contrastive Learning Scheme with Transformer Innate Patches	Mar 26, 2023	Contrastive Learningimage-classification	CodeCode Available	0
Deep Augmentation: Self-Supervised Learning with Transformations in Activation Space	Mar 25, 2023	Contrastive LearningData Augmentation	—Unverified	0
ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding	Mar 25, 2023	3D Shape ClassificationContrastive Learning	CodeCode Available	1
Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation	Mar 25, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	0
Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions	Mar 25, 2023	Active LearningContrastive Learning	—Unverified	0
Selective Structured State-Spaces for Long-Form Video Understanding	Mar 25, 2023	Contrastive LearningForm	—Unverified	0
Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning	Mar 25, 2023	Contrastive LearningQuestion Answering	CodeCode Available	1
Hybrid Augmented Automated Graph Contrastive Learning	Mar 24, 2023	Contrastive Learning	—Unverified	0
Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning	Mar 24, 2023	Contrastive LearningData Augmentation	—Unverified	0
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data	Mar 24, 2023	Contrastive Learning	CodeCode Available	1
Aligning Step-by-Step Instructional Diagrams to Video Demonstrations	Mar 24, 2023	Contrastive LearningImage Retrieval	CodeCode Available	0
CCL: Continual Contrastive Learning for LiDAR Place Recognition	Mar 24, 2023	Autonomous DrivingContinual 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