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 3201–3250 of 6661 papers

TitleStatusHype
URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering—0
Enhancing Emotion Recognition in Incomplete Data: A Novel Cross-Modal Alignment, Reconstruction, and Refinement Framework—0
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive LearningCode0
Tissue-Contrastive Semi-Masked Autoencoders for Segmentation Pretraining on Chest CT—0
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification—0
Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks—0
Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement—0
CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging—0
How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?—0
EA-VTR: Event-Aware Video-Text Retrieval—0
CEIA: CLIP-Based Event-Image Alignment for Open-World Event-Based Understanding—0
Resolving Sentiment Discrepancy for Multimodal Sentiment Detection via Semantics Completion and Decomposition—0
CorMulT: A Semi-supervised Modality Correlation-aware Multimodal Transformer for Sentiment Analysis—0
Sequential Contrastive Audio-Visual Learning—0
Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRICode0
HyCIR: Boosting Zero-Shot Composed Image Retrieval with Synthetic Labels—0
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised LearningCode0
Contrastive Learning of Preferences with a Contextual InfoNCE Loss—0
An accurate detection is not all you need to combat label noise in web-noisy datasetsCode0
Tile Compression and Embeddings for Multi-Label Classification in GeoLifeCLEF 2024Code0
Music Era Recognition Using Supervised Contrastive Learning and Artist Information—0
Self-Paced Sample Selection for Barely-Supervised Medical Image SegmentationCode0
Online Drift Detection with Maximum Concept DiscrepancyCode0
TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs—0
The Solution for Language-Enhanced Image New Category Discovery—0
Cross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning—0
A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-based Graph Contrastive Learning—0
Enhanced Long-Tailed Recognition with Contrastive CutMix AugmentationCode0
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for RecommendationsCode0
HCS-TNAS: Hybrid Constraint-driven Semi-supervised Transformer-NAS for Ultrasound Image Segmentation—0
Leveraging Graph Structures to Detect Hallucinations in Large Language ModelsCode0
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts—0
MedRAT: Unpaired Medical Report Generation via Auxiliary Tasks—0
Align and Aggregate: Compositional Reasoning with Video Alignment and Answer Aggregation for Video Question-Answering—0
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive LearningCode0
Supporting Cross-language Cross-project Bug Localization Using Pre-trained Language Models—0
Towards Attention-based Contrastive Learning for Audio Spoof Detection—0
DrugCLIP: Contrastive Drug-Disease Interaction For Drug Repurposing—0
A Contrastive Learning Based Convolutional Neural Network for ERP Brain-Computer Interfaces—0
Lung-CADex: Fully automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images—0
ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection—0
Semantic Compositions Enhance Vision-Language Contrastive Learning—0
CGRclust: Chaos Game Representation for Twin Contrastive Clustering of Unlabelled DNA SequencesCode0
SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTsCode0
Heterogeneous Graph Contrastive Learning with Spectral Augmentation—0
Enhancing Travel Decision-Making: A Contrastive Learning Approach for Personalized Review Rankings in Accommodations—0
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement—0
InfoNCE: Identifying the Gap Between Theory and Practice—0
eMoE-Tracker: Environmental MoE-based Transformer for Robust Event-guided Object Tracking—0
Zero-shot domain adaptation based on dual-level mix and contrast—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