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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1251–1300 of 1648 papers

TitleStatusHype
Deep Adversarial Metric Learning—0
Deep Aggregation of Regional Convolutional Activations for Content Based Image Retrieval—0
Deep Asymmetric Metric Learning via Rich Relationship Mining—0
Deep Attributes Driven Multi-Camera Person Re-identification—0
Deep Bayes Factor Scoring for Authorship Verification—0
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification—0
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval—0
Deep Distributional Sequence Embeddings Based on a Wasserstein Loss—0
Deep Divergence Learning—0
Deep Embedding using Bayesian Risk Minimization with Application to Sketch Recognition—0
Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving—0
Deep Hybrid Similarity Learning for Person Re-identification—0
Deep Joint Embeddings of Context and Content for Recommendation—0
Deep learning-based person re-identification methods: A survey and outlook of recent works—0
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels—0
Deep Metric Learning Assisted by Intra-variance in A Semi-supervised View of Learning—0
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19—0
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure—0
Deep Metric Learning-Based Semi-Supervised Regression With Alternate Learning—0
Deep Metric Learning for Computer Vision: A Brief Overview—0
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments—0
Deep Metric Learning for Ground Images—0
Deep metric learning for multi-labelled radiographs—0
Deep Metric Learning for Practical Person Re-Identification—0
Deep metric learning improves lab of origin prediction of genetically engineered plasmids—0
Deep Metric Learning Network using Proxies for Chromosome Classification in Karyotyping Test—0
Deep Metric Learning using Similarities from Nonlinear Rank Approximations—0
Deep Metric Learning via Adaptive Learnable Assessment—0
AdaMS: Deep Metric Learning with Adaptive Margin and Adaptive Scale for Acoustic Word Discrimination—0
Deep Metric Learning with Alternating Projections onto Feasible Sets—0
Deep Metric Learning with Density Adaptivity—0
Deep Metric Learning with Hierarchical Triplet Loss—0
Deep Metric Learning with Locality Sensitive Angular Loss for Self-Correcting Source Separation of Neural Spiking Signals—0
Deep Metric Learning with Soft Orthogonal Proxies—0
Deep Metric Learning with Spherical Embedding—0
Deep Metric Learning With Tuplet Margin Loss—0
Deep Metric Multi-View Hashing for Multimedia Retrieval—0
Deep Metric Structured Learning For Facial Expression Recognition—0
Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification—0
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?—0
DeepPoint3D: Learning Discriminative Local Descriptors using Deep Metric Learning on 3D Point Clouds—0
Deep-RBF Networks Revisited: Robust Classification with Rejection—0
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach—0
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection—0
Deep Semi-Supervised Metric Learning With Mixed Label Propagation—0
Deep Spectral Clustering Learning—0
Deep Transfer Metric Learning—0
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks—0
Deep Transform and Metric Learning Networks—0
Deep Variational Metric Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@198.2—Unverified
2Hyp-DINO 8x8R@192.8—Unverified
3ResNet-50 + AVSLR@191.5—Unverified
4NEDR@191.5—Unverified
5ResNet-50 + Intra-Batch (ensemble of 5)R@191.5—Unverified
6EfficientDML-VPTSP-G/512R@191.2—Unverified
7CCL (ResNet-50)R@191.02—Unverified
8ResNet50 + LanguageR@190.2—Unverified
9ResNet-50 + MetrixR@189.6—Unverified
10ResNet50 + S2SDR@189.5—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@191.2—Unverified
2STIRR@188.3—Unverified
3Recall@k Surrogate Loss (ViT-B/16)R@188—Unverified
4ViT-TripletR@186.5—Unverified
5ROADMAP (DeiT-S)R@186—Unverified
6Hyp-ViTR@185.9—Unverified
7Hyp-DINOR@185.1—Unverified
8Recall@k Surrogate Loss (ViT-B/32)R@185.1—Unverified
9CCL (ResNet-50)R@183.1—Unverified
10ROADMAP (ResNet-50)R@183.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@190.1—Unverified
2EfficientDML-VPTSP-G/512R@188.5—Unverified
3Hyp-ViTR@185.6—Unverified
4Hyp-DINOR@180.9—Unverified
5NEDR@174.9—Unverified
6CCL (ResNet-50)R@173.45—Unverified
7ResNet-50 + AVSLR@171.9—Unverified
8ResNet-50 + Intra-Batch ConnectionsR@171.8—Unverified
9ResNet50 + LanguageR@171.4—Unverified
10ResNet-50 + MetrixR@171.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@196.7—Unverified
2STIRR@195—Unverified
3MGAR@194.3—Unverified
4Hyp-ViTR@192.5—Unverified
5Hyp-DINOR@192.4—Unverified
6CCL (ResNet-50)R@192.31—Unverified
7Gradient SurgeryR@192.21—Unverified
8ResNet-50 + MetrixR@192.2—Unverified
9EfficientDML-VPTSP-G/512R@192.1—Unverified
10ViT-TripletR@192.1—Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP43.8—Unverified
2CSLAverage-mAP31—Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP38—Unverified
2CSLAverage-mAP28.7—Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP37—Unverified
2CSLAverage-mAP12.1—Unverified