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 4801–4825 of 6661 papers

TitleStatusHype
ModEFormer: Modality-Preserving Embedding for Audio-Video Synchronization using Transformers—0
MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillationCode0
ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked AutoencodersCode0
Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning—0
3D-CLFusion: Fast Text-to-3D Rendering with Contrastive Latent Diffusion—0
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning—0
Exploring Representation Learning for Small-Footprint Keyword Spotting—0
MXM-CLR: A Unified Framework for Contrastive Learning of Multifold Cross-Modal RepresentationsCode0
Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition—0
Weakly-Supervised Text Instance Segmentation—0
Unsupervised Cross-Domain Rumor Detection with Contrastive Learning and Cross-Attention—0
Unsupervised Gait Recognition with Selective Fusion—0
STGIC: a graph and image convolution-based method for spatial transcriptomic clustering—0
Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection—0
MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure ImageCode0
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy ReductionCode0
Unsupervised Facial Expression Representation Learning with Contrastive Local WarpingCode0
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference—0
Spherical Space Feature Decomposition for Guided Depth Map Super-ResolutionCode0
SymBa: Symmetric Backpropagation-Free Contrastive Learning with Forward-Forward Algorithm for Optimizing ConvergenceCode0
MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation—0
Molecular Property Prediction by Semantic-invariant Contrastive Learning—0
Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos—0
DEHRFormer: Real-time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes—0
Accommodating Audio Modality in CLIP for Multimodal ProcessingCode0
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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