SOTAVerified

Metric Learning

The goal of Metric Learning is to learn a representation function that maps objects into an embedded space. The distance in the embedded space should preserve the objects’ similarity — similar objects get close and dissimilar objects get far away. Various loss functions have been developed for Metric Learning. For example, the contrastive loss guides the objects from the same class to be mapped to the same point and those from different classes to be mapped to different points whose distances are larger than a margin. Triplet loss is also popular, which requires the distance between the anchor sample and the positive sample to be smaller than the distance between the anchor sample and the negative sample.

Source: Road Network Metric Learning for Estimated Time of Arrival

Papers

Showing 851900 of 1648 papers

TitleStatusHype
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification0
Learning Self-Expression Metrics for Scalable and Inductive Subspace ClusteringCode0
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling0
TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling0
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric LearningCode1
Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual LocalizationCode1
Cosine meets Softmax: A tough-to-beat baseline for visual groundingCode0
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot RecognitionCode1
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties0
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature EmbeddingCode0
Diversified Mutual Learning for Deep Metric Learning0
Proxy Network for Few Shot LearningCode0
Understanding and Exploiting Dependent Variables with Deep Metric Learning0
Region Comparison Network for Interpretable Few-shot Image ClassificationCode1
Simultaneous Preference and Metric Learning from Paired Comparisons0
Generalized vec trick for fast learning of pairwise kernel modelsCode1
1st Place Solution to Google Landmark Retrieval 2020Code1
3rd Place Solution to "Google Landmark Retrieval 2020"Code1
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning0
Deep Bayes Factor Scoring for Authorship Verification0
Emotion-Based End-to-End Matching Between Image and Music in Valence-Arousal SpaceCode1
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss0
Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory0
PyTorch Metric LearningCode3
Uncertainty-aware Self-supervised 3D Data AssociationCode1
Positive semidefinite support vector regression metric learning0
Learning Graph Edit Distance by Graph Neural Networks0
Towards Visually Explaining Similarity Models0
Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss0
Domain Private and Agnostic Feature for Modality Adaptive Face Recognition0
Metric Learning vs Classification for Disentangled Music Representation Learning0
Disentangled Multidimensional Metric Learning for Music Similarity0
Graph Wasserstein Correlation Analysis for Movie Retrieval0
Spherical Feature Transform for Deep Metric Learning0
Cross-Global Attention Graph Kernel Network Prediction of Drug Prescription0
Prime-Aware Adaptive Distillation0
PieNet: Personalized Image Enhancement NetworkCode1
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification0
Structural Deep Metric Learning for Room Layout Estimation0
Learning RGB-D Feature Embeddings for Unseen Object Instance SegmentationCode1
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identificationCode1
Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification0
Learning and aggregating deep local descriptors for instance-level recognitionCode1
Few-Shot Keyword Spotting With Prototypical NetworksCode1
Hard negative examples are hard, but usefulCode1
Multi-view adaptive graph convolutions for graph classification0
Smooth-AP: Smoothing the Path Towards Large-Scale Image RetrievalCode1
Time-Frequency Scattering Accurately Models Auditory Similarities Between Instrumental Playing TechniquesCode0
Domain Generalization via Optimal Transport with Metric Similarity Learning0
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@198.2Unverified
2Hyp-DINO 8x8R@192.8Unverified
3ResNet-50 + AVSLR@191.5Unverified
4NEDR@191.5Unverified
5ResNet-50 + Intra-Batch (ensemble of 5)R@191.5Unverified
6EfficientDML-VPTSP-G/512R@191.2Unverified
7CCL (ResNet-50)R@191.02Unverified
8ResNet50 + LanguageR@190.2Unverified
9ResNet-50 + MetrixR@189.6Unverified
10ResNet50 + S2SDR@189.5Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@191.2Unverified
2STIRR@188.3Unverified
3Recall@k Surrogate Loss (ViT-B/16)R@188Unverified
4ViT-TripletR@186.5Unverified
5ROADMAP (DeiT-S)R@186Unverified
6Hyp-ViTR@185.9Unverified
7Hyp-DINOR@185.1Unverified
8Recall@k Surrogate Loss (ViT-B/32)R@185.1Unverified
9CCL (ResNet-50)R@183.1Unverified
10ROADMAP (ResNet-50)R@183.1Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@190.1Unverified
2EfficientDML-VPTSP-G/512R@188.5Unverified
3Hyp-ViTR@185.6Unverified
4Hyp-DINOR@180.9Unverified
5NEDR@174.9Unverified
6CCL (ResNet-50)R@173.45Unverified
7ResNet-50 + AVSLR@171.9Unverified
8ResNet-50 + Intra-Batch ConnectionsR@171.8Unverified
9ResNet50 + LanguageR@171.4Unverified
10ResNet-50 + MetrixR@171.4Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@196.7Unverified
2STIRR@195Unverified
3MGAR@194.3Unverified
4Hyp-ViTR@192.5Unverified
5Hyp-DINOR@192.4Unverified
6CCL (ResNet-50)R@192.31Unverified
7Gradient SurgeryR@192.21Unverified
8ResNet-50 + MetrixR@192.2Unverified
9EfficientDML-VPTSP-G/512R@192.1Unverified
10ViT-TripletR@192.1Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP43.8Unverified
2CSLAverage-mAP31Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP38Unverified
2CSLAverage-mAP28.7Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP37Unverified
2CSLAverage-mAP12.1Unverified