SOTAVerified

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 651–700 of 6661 papers

TitleStatusHype
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning—0
Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning—0
Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive LearningCode0
Soft Knowledge Distillation with Multi-Dimensional Cross-Net Attention for Image Restoration Models Compression—0
Towards Robust and Realistic Human Pose Estimation via WiFi SignalsCode1
Pseudolabel guided pixels contrast for domain adaptive semantic segmentationCode0
Vision Foundation Models for Computed TomographyCode2
Digital Phenotyping for Adolescent Mental Health: A Feasibility Study Employing Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data—0
TCMM: Token Constraint and Multi-Scale Memory Bank of Contrastive Learning for Unsupervised Person Re-identificationCode0
Homophily-aware Heterogeneous Graph Contrastive Learning—0
SHYI: Action Support for Contrastive Learning in High-Fidelity Text-to-Image Generation—0
Benchmarking Robustness of Contrastive Learning Models for Medical Image-Report Retrieval—0
Molecular Graph Contrastive Learning with Line GraphCode0
Advancing Brainwave-Based Biometrics: A Large-Scale, Multi-Session EvaluationCode0
FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing—0
Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders—0
Intent-Interest Disentanglement and Item-Aware Intent Contrastive Learning for Sequential Recommendation—0
Code and Pixels: Multi-Modal Contrastive Pre-training for Enhanced Tabular Data Analysis—0
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression—0
Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions—0
Graph Contrastive Learning on Multi-label Classification for Recommendations—0
Evaluating unsupervised contrastive learning framework for MRI sequences classification—0
Language-Inspired Relation Transfer for Few-shot Class-Incremental Learning—0
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning—0
Learning Compact and Robust Representations for Anomaly Detection—0
Uncertainty-aware Knowledge TracingCode1
AD-L-JEPA: Self-Supervised Spatial World Models with Joint Embedding Predictive Architecture for Autonomous Driving with LiDAR DataCode1
Multimodal Graph Constrastive Learning and Prompt for ChartQA—0
Quantum-inspired Embeddings Projection and Similarity Metrics for Representation LearningCode0
Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMsCode1
MedCoDi-M: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation—0
Dual-level Adaptive Incongruity-enhanced Model for Multimodal Sarcasm DetectionCode1
VOILA: Complexity-Aware Universal Segmentation of CT images by Voxel Interacting with LanguageCode0
Action Quality Assessment via Hierarchical Pose-guided Multi-stage Contrastive RegressionCode0
CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds—0
Discriminative Representation learning via Attention-Enhanced Contrastive Learning for Short Text ClusteringCode0
LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving—0
Information-Maximized Soft Variable Discretization for Self-Supervised Image Representation LearningCode0
Evaluating Image Caption via Cycle-consistent Text-to-Image Generation—0
An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised LearningCode0
TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value IdentificationCode0
LOHA: Direct Graph Spectral Contrastive Learning Between Low-pass and High-pass Views—0
DarkFarseer: Inductive Spatio-temporal Kriging via Hidden Style Enhancement and Sparsity-Noise Mitigation—0
CCStereo: Audio-Visual Contextual and Contrastive Learning for Binaural Audio Generation—0
Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph ModelCode2
Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight DetectionCode1
Enhancing Contrastive Learning for Retinal Imaging via Adjusted Augmentation Scales—0
Hyperbolic Contrastive Learning for Hierarchical 3D Point Cloud Embedding—0
Contrastive Learning Augmented Social RecommendationsCode0
From Age Estimation to Age-Invariant Face Recognition: Generalized Age Feature Extraction Using Order-Enhanced Contrastive Learning—0
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All datasetsimagenet-1k10,000 People - Human Pose Recognition DataCIFAR-10STL-10

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ResNet50ImageNet Top-1 Accuracy73.6—Unverified
2ResNet50ImageNet Top-1 Accuracy73—Unverified
3ResNet50ImageNet Top-1 Accuracy71.1—Unverified
4ResNet50ImageNet Top-1 Accuracy69.3—Unverified
5ResNet50 (v2)ImageNet Top-1 Accuracy67.6—Unverified
6ResNet50 (v2)ImageNet Top-1 Accuracy63.8—Unverified
7ResNet50ImageNet Top-1 Accuracy63.6—Unverified
8ResNet50ImageNet Top-1 Accuracy61.5—Unverified
9ResNet50ImageNet Top-1 Accuracy61.5—Unverified
10ResNet50 (4×)ImageNet Top-1 Accuracy61.3—Unverified
#ModelMetricClaimedVerifiedStatus
110..5sec1—Unverified
#ModelMetricClaimedVerifiedStatus
1IPCL (ResNet18)Accuracy (Top-1)84.77—Unverified
#ModelMetricClaimedVerifiedStatus
1IPCL (ResNet18)Accuracy (Top-1)85.55—Unverified